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The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary ...

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    eBook icon PDF eBook Evolutionary Algorithms for Solving Multi-Objective Problems

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    • Title: Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello; David A. Van Veldhuizen; Gary B. Lamont
    • Publisher: Springer Nature
    • Print ISBN: 9780306467622, 0306467623
    • eText ISBN: 9781475751840
    • Edition: 2002
    • Format: PDF eBook
    $26.70
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