文件名称:EvolutionaryAlgorithmsforSolvingMulti-ObjectivePro
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《Evolutionary Algorithms for Solving Multi-Objective Problems》这是一本有关多目标进化的非常值得一看的书，里面有测试标准，测试函数等内容-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 interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evoluti
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Evolutionary Algorithms for Solving Multi-Objective Problems
............................................................\Alternative Metaheuristics .pdf
............................................................\Applications .pdf
............................................................\Back Matter .pdf
............................................................\Basic Concepts.pdf
............................................................\Front Matter.pdf
............................................................\MOEA Local Search and Coevolution .pdf
............................................................\MOEA Parallelization .pdf
............................................................\MOEA Test Suites .pdf
............................................................\MOEA Testing and Analysis .pdf
............................................................\MOEA Theory and Issues.pdf
............................................................\MOP Evolutionary Algorithm Approaches .pdf
............................................................\Multi-Criteria Decision Making .pdf
............................................................\Alternative Metaheuristics .pdf
............................................................\Applications .pdf
............................................................\Back Matter .pdf
............................................................\Basic Concepts.pdf
............................................................\Front Matter.pdf
............................................................\MOEA Local Search and Coevolution .pdf
............................................................\MOEA Parallelization .pdf
............................................................\MOEA Test Suites .pdf
............................................................\MOEA Testing and Analysis .pdf
............................................................\MOEA Theory and Issues.pdf
............................................................\MOP Evolutionary Algorithm Approaches .pdf
............................................................\Multi-Criteria Decision Making .pdf