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Mathematics / Operations research / Multi-objective optimization / Mathematical analysis / Pareto efficiency / Genetic algorithm / Optimization problem / Evolutionary algorithm / Evolutionary multi-modal optimization / Mathematical optimization / Cybernetics / Applied mathematics


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Document Date: 2010-04-12 16:47:10

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City

Berlin / Portland / Washington D.C. / Pareto Envelope / /

Company

IEEE Press / John Wiley & Sons / /

Country

Germany / United States / India / /

Currency

pence / MOP / /

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Facility

OR library / May.ower Hotel / Swiss Federal Institute of Technology Zurich / /

IndustryTerm

baseline algorithm / multiobjective optimization algorithms / multi-objective evolutionary algorithms / consecutive solutions / optimization using evolutionary algorithms / boundary solutions / evolutionary algorithm / evolutionary algorithms / extreme solutions / multiobjective evolutionary algorithms / /

Organization

Congress / Department of Electronics & Communication / Swiss Federal Institute of Technology Zurich / /

Person

Beasley / Laura Diosan / Heng Seng / /

/

ProvinceOrState

Oregon / /

PublishedMedium

IEEE transactions on Evolutionary Computation / /

Technology

3 multi-objective evolutionary algorithms / probability Multi-objective evolutionary algorithms / three algorithms / baseline algorithm / multiobjective optimization algorithms / evolutionary algorithm / 0.000000574 0.8337976192 Return Algorithm / compared algorithms / multiobjective evolutionary algorithms / Sorting Genetic Algorithm / Simulation / html / Recombination / Evolutionary algorithms / SPEA2 algorithm / two algorithms / Multiobjective optimization using evolutionary algorithms / binary tournament A. PESA Algorithm / /

URL

http /

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