Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances | Paper Citation Record

Observation 7eeec1f9-a27d-4d24-92b3-30e9762e2c67 · outbound

This paper cites Applied Soft Computing12(10), 3176–3192 (2012).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Applied Soft Computing12(10), 3176–3192 (2012)

Reference 1

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Observation 1b5448bb-8f2e-4d7d-bbc6-faca84784159 · outbound

This paper cites Journal of Heuristics1(1), 9–32 (1995).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of Heuristics1(1), 9–32 (1995)

Reference 2

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Observation 8d0c512b-ede7-4886-9d49-f91dff1fb9b6 · outbound

This paper cites Springer (2013).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Springer (2013)

Reference 3

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Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 4

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This paper cites Springer (2006) 27.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Springer (2006) 27

Reference 5

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Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 6

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This paper cites Springer (2010).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Springer (2010)

Reference 7

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This paper cites In: 30th International conference on machine learning, pp.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: 30th International conference on machine learning, pp

Reference 8

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Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 9

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Observation 5911a52e-1b7f-49a1-8ba7-ab84b7729761 · outbound

This paper cites Springer Berlin Heidelberg (2009).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Springer Berlin Heidelberg (2009)

Reference 10

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Observation 0a80631a-c77f-4b40-a4e7-125dfea02a8c · outbound

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Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 11

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Observation 67d69f05-fd37-4418-9e43-2fa3a4ec7a92 · outbound

This paper cites Behavior Research Methods38(1), 65–76 (2006).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Behavior Research Methods38(1), 65–76 (2006)

Reference 12

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Observation f0cc3baf-87f6-4891-b03d-55d0ace14ea7 · outbound

This paper cites In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’19, pp.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’19, pp

Reference 13

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This paper cites URL https://CRAN.R-project.org/package=CAISEr.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances URL https://CRAN.R-project.org/package=CAISEr

Reference 14

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Observation 8347f21e-fef1-4afa-9b50-34e9fd617ad8 · outbound

This paper cites Journal of Heuristics25(2), 305–338 (2019).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of Heuristics25(2), 305–338 (2019)

Reference 15

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This paper cites IEEE Transactions on Evolutionary Computation 15(6), 848–870 (2011).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances IEEE Transactions on Evolutionary Computation 15(6), 848–870 (2011)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.913268Z

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Observation 81abc9cf-fbd6-4c21-85de-2cd58d6c49d5 · outbound

This paper cites In: Experimental Methods for the Analysis of Optimization Algorithms, pp.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Experimental Methods for the Analysis of Optimization Algorithms, pp

Reference 17

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Observation 34fee137-a8c6-42f5-9660-45a8e37c1c69 · outbound

This paper cites INFORMS Journal on Computing12(1), 24–44 (2000).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances INFORMS Journal on Computing12(1), 24–44 (2000)

Reference 18

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This paper cites In: Proceedings of the 2004 IEEE Congress on Evolutionary Computation.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Proceedings of the 2004 IEEE Congress on Evolutionary Computation

Reference 19

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Observation a30c6f5c-7580-4d8e-b33e-2d9888000d87 · outbound

This paper cites Journal of Machine Learning Research7, 1–30 (2006) 28.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of Machine Learning Research7, 1–30 (2006) 28

Reference 20

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Observation ab3bd87c-c132-4eef-91bb-0149487399ac · outbound

This paper cites Information Sciences289, 41–58 (2014).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Information Sciences289, 41–58 (2014)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.728261Z

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Observation dbd0fb65-74c1-4985-abf2-65d335b115c5 · outbound

This paper cites Swarm and Evolutionary Computation1(1), 3–18 (2011).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Swarm and Evolutionary Computation1(1), 3–18 (2011)

Reference 22

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Observation ea458c72-61e6-416b-85d4-a89ff97a95ec · outbound

This paper cites Journal of the American Statistical Associ- ation 56(293), 52–64 (1961).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of the American Statistical Associ- ation 56(293), 52–64 (1961)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.707084Z

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Observation 591b43dd-d010-4d0d-aed2-a0b6eb959357 · outbound

This paper cites In: Proceedings of the 2002 IEEECongress on Evolutionary Computation.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Proceedings of the 2002 IEEECongress on Evolutionary Computation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.696898Z

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Observation 327d4202-e7f4-4fed-a2e9-837cb7d23987 · outbound

This paper cites Cambridge University Press (2010).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Cambridge University Press (2010)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.685534Z

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Observation cb6653e4-123d-4cef-bd0d-545404e716a5 · outbound

This paper cites Journal of the Royal Statistical Society.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of the Royal Statistical Society

Reference 26

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Observation 7831e7d8-8481-47ae-a165-b5f22fa8166c · outbound

This paper cites Ratios: A short guide to confidence limits and proper use.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Ratios: A short guide to confidence limits and proper use

Reference 27

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Observation 4b9b3ad0-846e-43cd-912c-0bbf0e0ce990 · outbound

This paper cites Soft Computing 13(10), 959–977 (2009).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Soft Computing 13(10), 959–977 (2009)

Reference 28

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This paper cites Information Sciences180(10), 2044–2064 (2010).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Information Sciences180(10), 2044–2064 (2010)

Reference 29

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Observation dff46ce3-b95f-480d-a025-d89286188d81 · outbound

This paper cites Journal of Heuristics15(6), 617–644 (2008).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of Heuristics15(6), 617–644 (2008)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.638916Z

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Observation ad48e528-59a6-4531-9f69-35c90b5292ab · outbound

This paper cites Cam- bridge university press (2006).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Cam- bridge university press (2006)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.628201Z

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Observation 7693bc58-c46c-4b81-a010-95611620292e · outbound

This paper cites Annals of Discrete Mathematics 5, 287–326 (1979).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Annals of Discrete Mathematics 5, 287–326 (1979)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.617706Z

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Observation 53bbe477-90f4-4b48-b122-0bbba4e41d67 · outbound

This paper cites COCO: The Experimental Procedure.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances COCO: The Experimental Procedure

Reference 33

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Observation 79ddf051-9cbb-4299-b3db-ebb336522ccd · outbound

This paper cites Scandinavian journal of statistics 6(2), 65–70 (1979).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Scandinavian journal of statistics 6(2), 65–70 (1979)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.605822Z

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Observation a3144c4f-f049-408a-9620-b730bc770975 · outbound

This paper cites Operations Research42(2), 201–212 (1994).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Operations Research42(2), 201–212 (1994)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.593017Z

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Observation bfda7b77-853c-4300-aa75-ca6e4233c861 · outbound

This paper cites Journal of Heuristics1(1), 33–42 (1996) 29.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Journal of Heuristics1(1), 33–42 (1996) 29

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.581003Z

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Observation 779de1e0-d23e-4238-a015-f64a847861d8 · outbound

This paper cites Ecological Monographs 54(2), 187–211 (1984).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Ecological Monographs 54(2), 187–211 (1984)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.567472Z

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Observation 43bff494-8365-4793-ac3e-a9b9e610f428 · outbound

This paper cites John Wiley and Sons Ltd (1991).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances John Wiley and Sons Ltd (1991)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.553864Z

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Observation 979329bd-4d98-4b49-8cd2-310666191a2e · outbound

This paper cites an unresolved cited work.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 39

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Observation e669f82c-e48c-4699-9ea4-8379278780db · outbound

This paper cites Applied Soft Computing37, 217–226 (2015).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Applied Soft Computing37, 217–226 (2015)

Reference 40

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Observation b76d7716-3610-4335-ba4e-7dbd433ae03b · outbound

This paper cites Aca- demic Press, Inc.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Aca- demic Press, Inc

Reference 41

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Observation 8de3fb22-6458-46b2-a31d-2cfcd5ed9435 · outbound

This paper cites In: Handbooks in Operations Research and Management Science, vol.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Handbooks in Operations Research and Management Science, vol

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.504337Z

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Observation c223f8f9-1a06-40b1-bf9e-4bb4fb23f885 · outbound

This paper cites an unresolved cited work.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:15:29.492463Z

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Observation 37622486-938d-41b8-931c-31fccde02745 · outbound

This paper cites The American Statistician 55(3), 187–193 (2001).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances The American Statistician 55(3), 187–193 (2001)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.481909Z

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Observation 9b9787ae-8125-4ca6-a062-5fe9c3ef6595 · outbound

This paper cites In preparation.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In preparation

Reference 45

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19f8b2de-6c9b-430e-9821-e4b9a7af5bff · outbound

This paper cites Matthews Malnar & Bailey Inc.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Matthews Malnar & Bailey Inc

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.457465Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f4b38da-83e5-418d-8013-6144d3dc6fcf · outbound

This paper cites INFORMS Journal on Computing8(1), 1–15 (1996).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances INFORMS Journal on Computing8(1), 1–15 (1996)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.445295Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69ba5bd2-0864-4ec9-9f9e-fa7e8a8a4a35 · outbound

This paper cites Fisheries Research 70, 397–407 (2004).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Fisheries Research 70, 397–407 (2004)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.434724Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ce50db0-4e20-461b-896c-515a0d4e5ba5 · outbound

This paper cites John Wiley & Sons (2013).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances John Wiley & Sons (2013)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.423550Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de5b14f8-0931-4e75-8f01-31252bc2a71f · outbound

This paper cites Wiley (2013).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Wiley (2013)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.410383Z

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Observation 1403fb96-f6a7-44c4-9240-b446cfe3ed9a · outbound

This paper cites Master’s thesis, Universi- dade Federal de Minas Gerais, Belo Horizonte, Brazil (2019).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Master’s thesis, Universi- dade Federal de Minas Gerais, Belo Horizonte, Brazil (2019)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.396841Z

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Observation 22722fc5-4a39-4ab1-a40b-2f62f2b73459 · outbound

This paper cites R Foundation for Statistical Computing, Vienna, Austria (2017).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances R Foundation for Statistical Computing, Vienna, Austria (2017)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.384913Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6001cc4a-726c-4660-85e8-457a4d5039b5 · outbound

This paper cites an unresolved cited work.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:15:29.372107Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64648f04-8a89-434a-8314-986c775930cd · outbound

This paper cites International Transactions in Operational Research00 (2016).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances International Transactions in Operational Research00 (2016)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.359181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7ca01cc-c13d-4252-99bf-cc3974a37e8f · outbound

This paper cites Annual review of psychology46(1), 561–584 (1995).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Annual review of psychology46(1), 561–584 (1995)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.346965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47ea38a3-e6d0-432f-8542-46babea4e9f0 · outbound

This paper cites Taylor & Francis (2011).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Taylor & Francis (2011)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.335003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c0ea7f0-4876-43cb-82f7-0a0ad7f4121b · outbound

This paper cites In: Handbook of Heuristics, pp.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Handbook of Heuristics, pp

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.317226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 524ce73f-efca-404b-b809-72593cad41ca · outbound

This paper cites European Journal of Operational Research211(3), 612–622 (2011).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances European Journal of Operational Research211(3), 612–622 (2011)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.300304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d27c1a43-418f-4d2b-8303-aba2f251e28d · outbound

This paper cites Parallel Problem Solving From Nature - PPSN VIII3242, 172–181 (2004).

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances Parallel Problem Solving From Nature - PPSN VIII3242, 172–181 (2004)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.143518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9450ed81-23d3-4c11-8b59-ce79a8829736 · outbound

This paper cites In: Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO09.

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances In: Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO09

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:29.129267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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