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Paper Citation Record · LEDGER

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:1908.08006.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.08006 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:59:37.695086Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:38:47.169264Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T11:05:34.312969Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11397b4a-a5ca-4ce8-8077-fd9ebe3d9172 · outbound

This paper cites an unresolved cited work.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6112a43c-bd84-4f33-a604-bf7e00626cfb · outbound

This paper cites Evolutionary Algorithms and Efficient Data Analytics for Image Processing.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Evolutionary Algorithms and Efficient Data Analytics for Image Processing

Reference 2

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verified exact
local_arxiv, observed 2026-08-14T12:59:37.760704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f6c7286f-a5ca-4f4c-90a5-ea824ca09598 · outbound

This paper cites Guided evolutionary strategies: Augmenting random search with surrogate gradients.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Guided evolutionary strategies: Augmenting random search with surrogate gradients

Reference 3

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local_arxiv, observed 2026-08-14T12:59:37.745317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c1ea17c9-a318-4829-965b-c5bb0506a86a · outbound

This paper cites an unresolved cited work.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-14T12:59:38.487409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 379c96fb-70df-4ec0-a6e2-a7eaebfc4990 · outbound

This paper cites Supervised representation learning: Transfer learning with deep autoencoders.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Supervised representation learning: Transfer learning with deep autoencoders

Reference 5

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raw_fallback, observed 2026-08-14T12:59:38.475563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 31c71093-958a-49a0-8293-8084ef332c47 · outbound

This paper cites Semi-supervised learning for discrete choice models.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Semi-supervised learning for discrete choice models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 35ad2471-4fff-4356-98a9-e30b9b436428 · outbound

This paper cites The curse (s) of dimensionality.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science The curse (s) of dimensionality

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f3a391c4-5a8a-4924-8a70-ff286a64eb8c · outbound

This paper cites A New Approach for Large Scale Multiple Testing with Application to FDR Control for Graphically Structured Hypotheses.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A New Approach for Large Scale Multiple Testing with Application to FDR Control for Graphically Structured Hypotheses

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3cfe4122-06c6-4420-8c0e-613c956829c6 · outbound

This paper cites A reminiscent study of nature inspired computation.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A reminiscent study of nature inspired computation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6394dcb5-b7bc-45b1-8308-cb0c362039d9 · outbound

This paper cites Stellar-mass black hole optimization for biclustering microarray gene expression data.Applied Artificial Intelligence, 29(4):353– 381, 2015.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Stellar-mass black hole optimization for biclustering microarray gene expression data.Applied Artificial Intelligence, 29(4):353– 381, 2015

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e55095d7-f583-4432-b18e-698f9da4aaa8 · outbound

This paper cites Metaheuristics in combinatorial optimization: Overview and conceptual comparison.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Metaheuristics in combinatorial optimization: Overview and conceptual comparison

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cf0a49cc-1583-4458-a9c0-bcddf04b71ab · outbound

This paper cites Evolutionary computation 1: Basic algorithms and operators.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Evolutionary computation 1: Basic algorithms and operators

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0dd20401-952d-43c7-9d19-792ed7ecb9e8 · outbound

This paper cites Coyote optimization algorithm: a new metaheuristic for global optimization problems.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Coyote optimization algorithm: a new metaheuristic for global optimization problems

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 82518480-fe57-4116-8c30-c26827d5dab4 · outbound

This paper cites Image steganalysis using a bee colony based feature selection algorithm.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Image steganalysis using a bee colony based feature selection algorithm

Reference 14

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b704e43d-2062-4121-9862-d7f931e402f9 · outbound

This paper cites A new metaheuristic feature subset selection approach for image steganalysis.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A new metaheuristic feature subset selection approach for image steganalysis

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 70dfe36f-dc05-40a9-ba76-aedffc83ca69 · outbound

This paper cites Uncertainty quan- tification in an engineering design software system.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Uncertainty quan- tification in an engineering design software system

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6b460794-0e3e-4794-86f2-7a79b4c25082 · outbound

This paper cites Precision medicine and the cursed dimensions.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Precision medicine and the cursed dimensions

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 565807f7-8913-480b-aefd-29a384393ed1 · outbound

This paper cites Automated diagnosis system for alzheimer disease using features selected by artificial bee colony.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Automated diagnosis system for alzheimer disease using features selected by artificial bee colony

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 96f1f630-6c95-4acd-89c8-48e23ff9158f · outbound

This paper cites Do additional features help or hurt category learning? the curse of dimensionality in human learners.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Do additional features help or hurt category learning? the curse of dimensionality in human learners

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0ed48ce1-5d47-4d5d-b375-297d88d6e5d1 · outbound

This paper cites The curse of dimensionality.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science The curse of dimensionality

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7fbb33df-4f72-4742-a316-7dc208ae57ae · outbound

This paper cites Taxonomy-aware feature engineering for microbiome classification.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Taxonomy-aware feature engineering for microbiome classification

Reference 21

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raw_fallback, observed 2026-08-14T12:59:38.298665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9972fb09-da3f-4fa2-b358-623dec37239b · outbound

This paper cites Stochastic shape optimization via design-space augmented dimensionality reduction and rans computations.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Stochastic shape optimization via design-space augmented dimensionality reduction and rans computations

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 25683348-45e9-4b53-bccc-430df7e54ad4 · outbound

This paper cites Big data classification using scale-free binary particle swarm optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Big data classification using scale-free binary particle swarm optimization

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ee6acf5d-13c0-4c5b-9542-736d24cf1dc9 · outbound

This paper cites Svsa: a semi-vortex search algorithm for solving optimization problems.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Svsa: a semi-vortex search algorithm for solving optimization problems

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation eb1d7e11-4002-4dcc-9f03-35d5cdeb4f4d · outbound

This paper cites An accelerated introduction to memetic algorithms.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An accelerated introduction to memetic algorithms

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dfa26180-acd6-44e5-a42c-ca8a704fe7b6 · outbound

This paper cites An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification

Reference 26

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unresolved
no resolver link, observed 2026-08-14T12:59:37.538553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7fc6ff0d-ec7b-4e60-a4fb-23be86884a3a · outbound

This paper cites Feature engineering for pre- dictive modeling using reinforcement learning.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Feature engineering for pre- dictive modeling using reinforcement learning

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.230237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7df023ef-ebd6-4734-8ed4-f765b2f445a7 · outbound

This paper cites Network representation learning: A survey.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Network representation learning: A survey

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.217190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c19f1752-fdd5-4295-9d0d-e34ade85df75 · outbound

This paper cites Novel wrapper-based feature selection for efficient clinical decision support system.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Novel wrapper-based feature selection for efficient clinical decision support system

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.204897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62f88c23-1996-45aa-9a65-d899e47289d6 · outbound

This paper cites Pareto front feature selection based on artificial bee colony optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Pareto front feature selection based on artificial bee colony optimization

Reference 30

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unresolved
no resolver link, observed 2026-08-14T12:59:37.553977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df015431-2469-4c7f-8d12-31ff35322066 · outbound

This paper cites A hybrid ge- netic algorithm with wrapper-embedded approaches for feature selection.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A hybrid ge- netic algorithm with wrapper-embedded approaches for feature selection

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.183480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94dfef07-0186-4b31-863d-07a6fe8cd8c2 · outbound

This paper cites Particle swarm optimization based feature selection with novel fitness function for image steganalysis.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Particle swarm optimization based feature selection with novel fitness function for image steganalysis

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.169333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ba0aaaab-5188-46c0-a798-646311d23f9e · outbound

This paper cites A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.156744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72bd01e6-dcfc-403d-a389-1d8afe283441 · outbound

This paper cites Simultaneous allo- cation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Simultaneous allo- cation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.145479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 746fb719-0c0e-4206-9a9a-038ce98edf03 · outbound

This paper cites Genetic algorithms in resource optimization of con- struction project.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Genetic algorithms in resource optimization of con- struction project

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.133555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.572617Z digest=sha256:4ee1190e01594bb086532b605b231bc480844b369b0fd1b5bb0c3f7b15e2bcf5

Observation 8e66e96e-f2fa-42f6-8525-d1b6648ab5df · outbound

This paper cites Allocation of electric vehicles’ parking lots in distribution network.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Allocation of electric vehicles’ parking lots in distribution network

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T12:59:37.576236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:59:37.576236Z digest=sha256:3662a28e095cd40e44f4b3b121dc850124cc710bd0cdfd9db7f92276ba9e9483

Observation de1c7088-e83f-4bfb-aef5-cc3ca3b597ad · outbound

This paper cites Genetic programming: on the programming of computers by means of natural selection, volume 1.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Genetic programming: on the programming of computers by means of natural selection, volume 1

Reference 37

Resolution
unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:59:37.579875Z digest=sha256:063ae91f1426a26409799f20fd20cc075c391738ed5b2cc03e4cc60582dbaf04

Observation 083b1d81-2a77-46b2-bf24-8dde7f01ace6 · outbound

This paper cites Knowledge discovery in multiobjective optimization problems in engineering via genetic programming.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Knowledge discovery in multiobjective optimization problems in engineering via genetic programming

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.104161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.583964Z digest=sha256:778a6bc7d92e2c8dc921dafeb3aa4365eb125651d84febcc452abfa5d70e5e0c

Observation 6d6d4c1f-6484-493f-8337-b0f65970c05c · outbound

This paper cites Artificial intelligence through a simulation of evolution.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Artificial intelligence through a simulation of evolution

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.588015Z digest=sha256:89307e1c8a30c9b7221858f1ba0173479681ac1ccef1e5bf472f35f73ce622b3

Observation d11a10f1-a99a-4994-bf56-634d04b4445c · outbound

This paper cites A comprehen- sive survey: artificial bee colony (abc) algorithm and applications.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A comprehen- sive survey: artificial bee colony (abc) algorithm and applications

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.080336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.591424Z digest=sha256:e9800a884d4c363e1e5167965f9064b1b2585472a22d4504e253bab63e485cad

Observation 2992a394-6b54-42c9-a93d-1ef5a695610a · outbound

This paper cites An idea based on honey bee swarm for numerical optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An idea based on honey bee swarm for numerical optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.067791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.594775Z digest=sha256:36a31f04f6be1d8a39dd6ff89ad01677e29f001fa11cf0c60c0c5f9dd923dc3f

Observation 9408ffcc-8f4e-47c3-a16c-a12d396b23d4 · outbound

This paper cites A novel history-driven artificial bee colony algorithm for data clustering.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A novel history-driven artificial bee colony algorithm for data clustering

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.055803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.598931Z digest=sha256:e8a75e9d0378a6bcc493fca71d3692a4ddb0bb313ba70f72fc8fa2c8ce7ff202

Observation c4c30ab9-86e4-4560-9e09-a69dcb0709fb · outbound

This paper cites An improved global best guided artificial bee colony algorithm for continuous optimization problems.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An improved global best guided artificial bee colony algorithm for continuous optimization problems

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T12:59:37.602043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:59:37.602043Z digest=sha256:3b344deff0d9ef484e9304d43745ce3c28b338fb9490f9206c14d07875c856aa

Observation 00100965-e4af-48bd-8f10-a7b364157350 · outbound

This paper cites A self-adaptive artificial bee colony algorithm based on global best for global optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A self-adaptive artificial bee colony algorithm based on global best for global optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.036384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.605332Z digest=sha256:3449297846d8a2c8330c95a4453bf5de152104c1ceb7637f6cff07048af9c88b

Observation 06520afa-2f7b-4332-92cb-b6cae4be2669 · outbound

This paper cites Modified multiple search cooperative foraging strategy for improved artificial bee colony optimization with robustness analysis.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Modified multiple search cooperative foraging strategy for improved artificial bee colony optimization with robustness analysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.024984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.611106Z digest=sha256:3b805d6ada8f29857dddab100f5cc07fb4ae78d461132bb0355ff5ed9afcf61b

Observation 5407cd07-5e56-4076-b63d-6ae75f97d573 · outbound

This paper cites An improved optimization method based on krill herd and artificial bee colony with information exchange.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An improved optimization method based on krill herd and artificial bee colony with information exchange

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:38.010618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.615155Z digest=sha256:2d7c40067a698dad1317c64fee7963f68139330a98c572d3928f38390d56ee4c

Observation e53b0c38-266f-4a5d-aae9-0b94b8cada91 · outbound

This paper cites Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.997933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.619954Z digest=sha256:dc0852aa7d9777b56b2f70a55094d3f02c538662f3a0e8aef399ec387f7449df

Observation ccd1e1e1-290a-4714-b534-ac4a5e2c398c · outbound

This paper cites Eberhart.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Eberhart

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.986004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.623732Z digest=sha256:c910b1d7eee0f9cd71c3ea6b010308d689404845745164724a9647338a22c7c3

Observation 20cc48f9-8ec4-4319-8ab1-c98fc4c9949d · outbound

This paper cites Particle swarm optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Particle swarm optimization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.977053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.627798Z digest=sha256:db926d608491b62bf4d37f249b0aae483e014f8c30e755f531f29296a5930d3c

Observation 32749904-f4a8-4e73-8b60-e5202d8f6b5f · outbound

This paper cites A particle swarm optimization algorithm with crossover operator.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A particle swarm optimization algorithm with crossover operator

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.967715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.631445Z digest=sha256:d7aa96b5ef09f6bc5c74161e9ecf3e3c6edc13574e168113670dcf944e8d220a

Observation a3ce0274-7c9d-4e6d-883b-a8d19fefaaf8 · outbound

This paper cites Binary pso with mutation operator for feature selection using decision tree applied to spam detection.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Binary pso with mutation operator for feature selection using decision tree applied to spam detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.956718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.635029Z digest=sha256:a7bd74f552237151e99173ffe377cedba4eb8aa2fae01ae521c60ba52110a4c0

Observation 4c15accc-890b-434a-92dc-6ac4e97edcdc · outbound

This paper cites Particle swarm optimization with probabilistic inertia weight.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Particle swarm optimization with probabilistic inertia weight

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.945547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.638779Z digest=sha256:b37b93eea4b20d3be8cd160c74c8321954f806a075c72b9d5298654e185a21ef

Observation c9cab9fb-940f-48bf-b4e9-d4a5a394a7c6 · outbound

This paper cites Optimal design of power-system stabilizers using particle swarm optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Optimal design of power-system stabilizers using particle swarm optimization

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.935228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.642363Z digest=sha256:51ee54f809d5827e55108abc2926745620497ffff50a1ac0eb198835cb9e3e22

Observation 70f7d4da-2254-432d-9d86-63b9d44f7ba6 · outbound

This paper cites Practical distri- bution state estimation using hybrid particle swarm optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Practical distri- bution state estimation using hybrid particle swarm optimization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.923507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.646575Z digest=sha256:523510023eaf2d3321f3bb843aed3abb33689b241f108e0dd31d215dcd6c48a5

Observation 7d2c66ab-a9ac-4b40-acee-21b9992586ea · outbound

This paper cites A particle swarm optimization for reactive power and voltage control consider- ing voltage security assessment.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A particle swarm optimization for reactive power and voltage control consider- ing voltage security assessment

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.909434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.650174Z digest=sha256:1245dba97afb8a0ab3f59a4a12cbe45b08c2fd906c1c4856befb125eef2f7f8b

Observation 9c01bdc5-9f54-4e6d-86ae-1a59c7c025e2 · outbound

This paper cites Ant colony optimization: a new meta-heuristic.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Ant colony optimization: a new meta-heuristic

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.896745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.653916Z digest=sha256:0a11775c6a06111da5eba271af096eeb20a5ae5a0db17124e48973c711e06a25

Observation 472f271c-3b40-40bf-973a-3bb7938fe052 · outbound

This paper cites Ant colony optimization for continuous domains.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Ant colony optimization for continuous domains

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.884738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.657694Z digest=sha256:b589b9d18243652ad1d216e8ddae7b39d53750e003cbd2a5a63c0a0e26e9bb8a

Observation 408fe32b-6737-4a15-a1f9-10fff118f263 · outbound

This paper cites A new hybrid ant colony op- timization algorithm for feature selection.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A new hybrid ant colony op- timization algorithm for feature selection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.874107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.661180Z digest=sha256:71a2e7ba17d77e76246b1ba62e8bee557352cbe4182cf79fa30e6532882345c6

Observation 9ca84ada-18d8-43a3-b7a8-aa7690cf66bd · outbound

This paper cites Grey wolf optimizer.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Grey wolf optimizer

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.863699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.664866Z digest=sha256:44054ba9cb60b861f2ad44224f81a8dcf06e4224da139b45a7ea645117684df5

Observation 4b142880-bef2-4215-ad6e-e8c5b7b31f71 · outbound

This paper cites A new bio-inspired algorithm: chicken swarm optimization.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science A new bio-inspired algorithm: chicken swarm optimization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.852837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.669081Z digest=sha256:0770081ba7e978f7ea7e66364e4d52621553005ae57a7cca6605d4c01dcde371

Observation 120b6ced-2e72-4916-af4c-66c687a8e526 · outbound

This paper cites Optimizing directional reader antennas deployment in uhf rfid localization system by using a mpcso algorithm.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Optimizing directional reader antennas deployment in uhf rfid localization system by using a mpcso algorithm

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.840723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.673060Z digest=sha256:1bea0f0d9ccd4db66afe2b00ee15444260fa8aaaf2aceb3da3d8f8783cebf82a

Observation 9fb429aa-e6fc-4e4f-b7fc-d7b768f4529d · outbound

This paper cites An adaptive ap- proach for community detection based on chicken swarm optimization algorithm.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An adaptive ap- proach for community detection based on chicken swarm optimization algorithm

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.827661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.676927Z digest=sha256:28ebe5c34eb9cf4cf2bc6ade8428f7b558d17628c4402f699b7e35698464eaef

Observation 09c6e609-080a-4a99-a4f8-d879204a1edd · outbound

This paper cites Dempster-shafer based probabilistic fuzzy logic sys- tem for wind speed prediction.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Dempster-shafer based probabilistic fuzzy logic sys- tem for wind speed prediction

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.815884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.680731Z digest=sha256:e5643d4f034e6ec38cbdc4e25eed8cdb15259a00c022bb39b76cf56a937f64cf

Observation f40cdc64-309c-4676-a31f-d5a4a436d0c0 · outbound

This paper cites An optimizing method based on autonomous animats: fish-swarm algorithm.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science An optimizing method based on autonomous animats: fish-swarm algorithm

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-14T12:59:37.684210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:59:37.684210Z digest=sha256:65676ab28ab8a161f44529e8c65e5a647984509751c8a217c39a92bf54af1846

Observation ecb10668-c185-4a8b-9955-912535419375 · outbound

This paper cites Neighborhood rough set reduction with fish swarm algorithm.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Neighborhood rough set reduction with fish swarm algorithm

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.796001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.687812Z digest=sha256:7e18d8fa58e52a8cf2708cf3aab5e98f4e872d18b10dca64a43942ae2086e07d

Observation b506b153-81b8-441c-a290-7b439d57ed53 · outbound

This paper cites Artificial fish swarm- inspired whale optimization algorithm for solving multimodal benchmark functions.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Artificial fish swarm- inspired whale optimization algorithm for solving multimodal benchmark functions

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.783956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.691466Z digest=sha256:26b79fcae398a1762979be5eb1f3f4a5ed7cd722af8fc80f199c8ffe6e7db3ef

Observation 537cc78b-f226-4963-9537-1bbac8ce0b2f · outbound

This paper cites Applications of nature-inspired algorithms for dimension Reduction: Enabling efficient data analytics.

Evolutionary Computation, Optimization and Learning Algorithms for Data Science Applications of nature-inspired algorithms for dimension Reduction: Enabling efficient data analytics

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:37.771738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:59:37.695086Z digest=sha256:16f6a60101f75f06652db0f5ed914418671c05a8a0d4495f7ae5a1e63c46c413

Pith citing papers

Observation fbc00699-82e7-4633-8e27-2210787d7fed · inbound

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics cites this paper.

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics Evolutionary Computation, Optimization and Learning Algorithms for Data Science

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T11:38:47.169264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:38:47.169264Z digest=sha256:76ae06f16677350bee639db831fac5a206c4041307a28c1f4db225302093ca93

Observation 5f971ee3-cbe1-4285-8db0-1845996a689a · inbound

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises cites this paper.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Evolutionary Computation, Optimization and Learning Algorithms for Data Science

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:05:34.317297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T11:05:33.983532Z digest=sha256:548ce89b17437e9f3b0b479f3aa4775ba72c6f0cb99fb5fd54357ee31cd370c8