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- W2188119123 abstract "Punctuated anytime learning (PAL)isasystem that canbeusedforevolving cooperative teamsofagents. PAL applied toevolving multiple populations isakindofcooperative coevolutionary algorithm (CCEA). Herewe comparePAL toa canonical genetic algorithm (GA)ona widley usedGA benchmarking optimization function called theRosenbrock function. TheRosenbrock function was chosenfor experimentation because itisahighly non-linear function anddifficult tooptimize. Results areshownfroma variety ofexperiments withdifferent dimensionalities oftheRosenbrock function. Thesefindings are discussed inthecontext ofevolving binary controllers formutli-agent cooperative teamsofrobots." @default.
- W2188119123 created "2016-06-24" @default.
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- W2188119123 date "2006-01-01" @default.
- W2188119123 modified "2023-09-24" @default.
- W2188119123 title "Benchmarking Punctuated AnytimeLearning forEvolving aMulti-Agent Team'sBinary Controllers" @default.
- W2188119123 hasPublicationYear "2006" @default.
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