Paper Citation Record · LEDGER

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

As of 17 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 2026-08-17T06:30:58.91139+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

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:59:38.499727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified exact; 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: unresolved; 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.463028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.449992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.437110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.425460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.414350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.403214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.389221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-14T12:59:37.492949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.368139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.356313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.344356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.332541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.321527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.310288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.286861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.274594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.262391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.250785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

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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; no resolver link, observed 2026-08-14T12:59:37.579875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:38.091871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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