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Numerical analysis / Mathematical optimization / Search algorithms / Genetic algorithm / Fitness landscape / Evolutionary algorithm / Bayesian network / Algorithm / Evolutionary computation / Mathematics / Applied mathematics / Cybernetics


Escaping Hierarchical Traps with Competent Genetic Algorithms Martin Pelikan David. E. Goldberg Depts. of General Engineering and Computer Science
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Document Date: 2007-07-17 16:58:44


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City

Ann Arbor / Urbana / Redmond / San Mateo / Berlin / Cambridge / Hillsdale / /

Company

MIT Press / U. S. Army Research Laboratory / Lawrence Erlbaum Associates / BAYESIAN NETWORKS / Illinois Genetic Algorithms Laboratory / Microsoft / Eiben A. E. / /

Country

Netherlands / Jordan / /

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EntertainmentAwardEvent

HIFF / the HIFF / /

Facility

University of Michigan Press / University of Illinois / General Engineering University of Illinois / U. S. Army Research Laboratory / University of Michigan / University Microfilms No. / Urbana-Champaign University of Illinois / /

IndustryTerm

optimization algorithm / short partial solutions / recombinative algorithms / empty network / steady state genetic algorithm / genetic adaptive systems / local search methods / search algorithm / important partial solutions / real-world applications / printing / genetic algorithm / optimization algorithms / natural and artificial systems / competent genetic algorithms / greedy algorithm / genetic and evolutionary algorithms / genetic algorithms / search / search regions / partial solutions / search space / /

Organization

University of Michigan / Ann Arbor / National Science Foundation / University of Michigan Press / MIT / US Government / Air Force Materiel Command / Slovak Grant Agency / University of Illinois / United States Army / Air Force office of Scientific Research / /

Person

Erick Cant / Martin Pelikan / Franz Rothlauf / Morgan Kaufmann / Martin Butz / Kumara Sastry / Clarissa Van Hoyweghen / Fernando Lobo / Martin Pelikan David / /

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Position

D. J. / general for some data sets / /

Product

Hamming / /

ProvinceOrState

Illinois / California / /

PublishedMedium

Annals of Mathematics / /

Technology

1 INTRODUCTION Genetic algorithms / search algorithm / machine learning / optimization algorithm / increasingly competent genetic algorithms / Competent Genetic Algorithms / proposed algorithm / steady state genetic algorithm / optimization algorithms / genetic and evolutionary algorithms / genotype / recombination / not encourage using a steady state genetic algorithm / /

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