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Applied mathematics / Genetic algorithms / Numerical analysis / Science / Operations research / Evolution strategy / Evolution / Mutation / Genetic programming / Evolutionary algorithms / Mathematical optimization / Cybernetics


‘Simple’ differential evolution for beef model optimisation D. G. Mayera, B. P. Kinghornb and A. A. Archerc aQueensland Department of Primary Industries, Brisbane. bSygen Chair of Genetic I
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Document Date: 2013-01-14 22:09:45


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City

Berlin / Springer-Verlag / Brisbane / Reading / Boston / Wiley / Townsville / /

Company

Mead / Package Type Code Lines (adaptive) SA C / GA C ASA / /

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Facility

University of New England / /

IndustryTerm

search-space / genetic algorithm / optimisation software / deterministic direct-search methods / large and complex search-spaces / large and complex evolutionary algorithms / fittest solution / realvalue genetic algorithm / genetic algorithms / evolutionary algorithm / tabu search / optimisation algorithms / computing / Report best solution / preferred evolutionary algorithm / optimisation algorithm / evolutionary algorithms / stochastic algorithms / agricultural systems / real-value genetic algorithm / /

OperatingSystem

Unix / /

Organization

D. G. Mayera / B. P. Kinghornb and A. A. Archerc aQueensland Department of Primary Industries / Australian Bureau of Statistics / University of New England / DEd / /

Person

A. Van Veldhuizen / Dobb / Katherine Delaney / /

Position

david.mayer@dpi.qld.gov.au bSygen Chair / /

ProgrammingLanguage

Fortran / /

ProvinceOrState

Queensland / Delaware / New York / /

PublishedMedium

The Computer Journal / /

Technology

optimisation algorithm / all evolutionary algorithms / Genetic algorithms / realvalue genetic algorithm / optimisation algorithms / Unix / machine learning / simulation / html / recombination / real-value genetic algorithm / preferred evolutionary algorithm / Evolutionary algorithms / /

URL

http /

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