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Science / Learning / Knowledge / Operations research / Cybernetics / Genetic programming / Skill / Fitness function / Trial and error / Mathematical optimization / Evolutionary algorithms / Genetic algorithms


Organization Design Optimization using Genetic
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Document Date: 2006-11-17 21:23:59

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Company

GP / /

Currency

pence / /

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Event

Force Majeure / /

Facility

Carnegie Mellon University / Terminal Set P1 / Terminal Sets Terminal / /

IndustryTerm

organizational analysis tools / never ending search / heuristic search / biotechnology / human generated solution / theoretical optimal solution / validated analysis tools / evolutionary computing method / bound search / exhaustive search / post processor / human solution / human-discovered solution / Software simulation / genetic networks / genetic algorithm / simulation tool / information processing theories / genetic algorithms / optimization tool / analysis tools / method and tool / search space / rule-based diagnostic tools / physical systems / post-processor / /

Organization

Department of Civil and Environmental Engineering / Design Optimization Using Genetic Programming / Stanford University / Carnegie Mellon University / Stanford University Department of Civil / Stanford / /

Person

William Hewlett / Michael Murray / Sean Luke / John H. Miller / /

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Position

senior project manager / actor / project manager / first level supervisor / manager teams / Student/Manager / General / manager to a near optimal one 4.3 Genetic Tree Constraints Since FTE / Construction PM / manager groups / engineer / last actor / Astrom-Hagglund PID controller / / /

ProgrammingLanguage

Java / /

ProvinceOrState

California / /

SportsEvent

The formula 1 / /

Technology

expert system / biotechnology / genetic algorithm / simulation system / 2.8GHz processor / post processor / semiconductors / artificial intelligence / Java / Environmental Engineering / simulation / /

SocialTag