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The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best

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Darrell WhitleyAuthors Info & Claims

Proceedings of the third international conference on Genetic algorithms

Pages 116 - 121

Published: 01 December 1989 Publication History

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Scott EDe Jong KSilva SPaquete L(2023)Initialization Matters for Asynchronous Steady-State Evolutionary AlgorithmsProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3596404(1570-1578)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3596404
Zohdinasab TRiccio VGambi ATonella P(2023)Efficient and Effective Feature Space Exploration for Testing Deep Learning SystemsACM Transactions on Software Engineering and Methodology10.1145/354479232:2(1-38)Online publication date: 29-Mar-2023
https://dl.acm.org/doi/10.1145/3544792
Corus DLissovoi AOliveto PWitt C(2021)On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is BestACM Transactions on Evolutionary Learning and Optimization10.1145/34274741:1(1-38)Online publication date: 26-Apr-2021
https://dl.acm.org/doi/10.1145/3427474
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The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best

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Published In

Proceedings of the third international conference on Genetic algorithms

December 1989

445 pages

ISBN:1558600063

Editor:
J. David Schaffer

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Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

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Published: 01 December 1989

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Scott EDe Jong KSilva SPaquete L(2023)Initialization Matters for Asynchronous Steady-State Evolutionary AlgorithmsProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3596404(1570-1578)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3596404
Zohdinasab TRiccio VGambi ATonella P(2023)Efficient and Effective Feature Space Exploration for Testing Deep Learning SystemsACM Transactions on Software Engineering and Methodology10.1145/354479232:2(1-38)Online publication date: 29-Mar-2023
https://dl.acm.org/doi/10.1145/3544792
Corus DLissovoi AOliveto PWitt C(2021)On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is BestACM Transactions on Evolutionary Learning and Optimization10.1145/34274741:1(1-38)Online publication date: 26-Apr-2021
https://dl.acm.org/doi/10.1145/3427474
Turney P(2020)Symbiosis Promotes Fitness Improvements in the Game of LifeArtificial Life10.1162/artl_a_0032626:3(338-365)Online publication date: 1-Sep-2020
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Corus DOliveto PYazdani DAuger AStützle T(2019)On inversely proportional hypermutations with mutation potentialProceedings of the Genetic and Evolutionary Computation Conference10.1145/3321707.3321780(215-223)Online publication date: 13-Jul-2019
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Dif NElberrichi Z(2018)A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN AlgorithmInternational Journal of Strategic Information Technology and Applications10.4018/IJSITA.20180401039:2(35-49)Online publication date: 1-Apr-2018
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Ebert SFarhana EHeber STakadama K(2018)A parallel island model for biogeography-based classification rule mining in juliaProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3208262(1284-1291)Online publication date: 6-Jul-2018
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Ollivier YArnold LAuger AHansen N(2017)Information-geometric optimization algorithmsThe Journal of Machine Learning Research10.5555/3122009.312202718:1(564-628)Online publication date: 1-Jan-2017
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Ibrahim A(2017)Multiple-process procedural textureThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1295-z33:12(1511-1528)Online publication date: 1-Dec-2017
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On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is Best

Rank methods for the analysis of clustered data in diagnostic trials

A Feature Selection Method for Vision-Based Blood Pressure Measurement

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