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Evolutionary Algorithms for Solving Multi-Objective Problems

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Evolutionary Algorithms for Solving Multi-Objective Problems - Coello, Carlos A, and Van Veldhuizen, David A, and Lamont, Gary B
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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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Evolutionary Algorithms for Solving Multi-Objective Problems 2002, Kluwer Academic Publishers, New York, NY

ISBN-13: 9780306467622

Hardcover