Article

Reducing bias and inefficiency in the selection algorithm

Author:

James E. BakerAuthors Info & Claims

Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application

Pages 14 - 21

Published: 01 October 1987 Publication History

Abstract

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Arcega LFont JHaugen ØCetina C(2021)Bug Localization in Model-Based Systems in the WildACM Transactions on Software Engineering and Methodology10.1145/347261631:1(1-32)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3472616
Elmehdi MAbdelilah M(2019)Genetic Algorithm for Optimal Charge Scheduling of Electric Vehicle FleetProceedings of the 2nd International Conference on Networking, Information Systems & Security10.1145/3320326.3320329(1-7)Online publication date: 27-Mar-2019
https://dl.acm.org/doi/10.1145/3320326.3320329
Stefanoiu DCulita JIonescu F(2019)Vibration fault diagnosis through genetic matching pursuit optimizationSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3450-023:17(8131-8157)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s00500-018-3450-0
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Index Terms

Reducing bias and inefficiency in the selection algorithm
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
    2. Machine learning approaches
      1. Instance-based learning
2. Theory of computation
  1. Design and analysis of algorithms
    1. Data structures design and analysis
      1. Sorting and searching

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Published In

Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application

October 1987

260 pages

ISBN:0805801588

Editor:
John J. Grefenstette

Publisher

L. Erlbaum Associates Inc.

United States

Publication History

Published: 01 October 1987

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Arcega LFont JHaugen ØCetina C(2021)Bug Localization in Model-Based Systems in the WildACM Transactions on Software Engineering and Methodology10.1145/347261631:1(1-32)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3472616
Elmehdi MAbdelilah M(2019)Genetic Algorithm for Optimal Charge Scheduling of Electric Vehicle FleetProceedings of the 2nd International Conference on Networking, Information Systems & Security10.1145/3320326.3320329(1-7)Online publication date: 27-Mar-2019
https://dl.acm.org/doi/10.1145/3320326.3320329
Stefanoiu DCulita JIonescu F(2019)Vibration fault diagnosis through genetic matching pursuit optimizationSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3450-023:17(8131-8157)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s00500-018-3450-0
Chisari C(2019)Tolerance-based Pareto optimality for structural identification accounting for uncertaintyEngineering with Computers10.1007/s00366-018-0605-735:2(381-395)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s00366-018-0605-7
Zheng YLi CLiu SLu W(2018)An improved genetic approach for composing optimal collaborative learning groupsKnowledge-Based Systems10.5555/3163587.3163754139:C(214-225)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3163587.3163754
Arcega LFont JCetina CWąsowski APaige RHaugen Ø(2018)Evolutionary Algorithm for Bug Localization in the Reconfigurations of Models at RuntimeProceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems10.1145/3239372.3239392(90-100)Online publication date: 14-Oct-2018
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Elfwing SUchibe EDoya KTakadama K(2018)Online meta-learning by parallel algorithm competitionProceedings of the Genetic and Evolutionary Computation Conference10.1145/3205455.3205486(426-433)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3205455.3205486
Lynn NSuganthan P(2017)Ensemble particle swarm optimizerApplied Soft Computing10.1016/j.asoc.2017.02.00755:C(533-548)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.asoc.2017.02.007
Raychev VBielik PVechev MKrause A(2016)Learning programs from noisy dataACM SIGPLAN Notices10.1145/2914770.283767151:1(761-774)Online publication date: 11-Jan-2016
https://dl.acm.org/doi/10.1145/2914770.2837671
Scott EDe Jong KNeumann FSutton A(2016)Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary AlgorithmsProceedings of the Genetic and Evolutionary Computation Conference 201610.1145/2908812.2908934(845-852)Online publication date: 20-Jul-2016
https://dl.acm.org/doi/10.1145/2908812.2908934
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Reducing confirmation bias and evaluation bias: When are preference-inconsistent recommendations effective - and when not?

A bias reducing technique in kernel distribution function estimation

Reducing non-response bias with survey reweighting: applications for online learning researchers

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