Titlebook: Evolutionary Computation for Dynamic Optimization Problems; Shengxiang Yang,Xin Yao Conference proceedings 2013 Springer-Verlag Berlin Hei

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Geschichte, Kultur und Medizinethik,ion converges to a solution and a dynamic change occurs, it is difficult for the population to adapt to the new environment since high levels of pheromone will be generated to a single trail and force the ants to follow it even after a dynamic change. A good solution is to maintain the diversity via

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Shengxiang Yang,Xin YaoCompilation on the state-of-the-art of evolutionary computation for dynamic optimization problems.Valuable reference book for the domain of Evolutionary Computation for Dynamic Optimization Problems i

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Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/317869.jpg

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https://doi.org/10.1007/978-3-642-38416-5Computational Intelligence; Dynamic Optimization Problems; Evolutionary Algorithms; Hybrid Intelligent

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https://doi.org/10.1007/978-3-8349-6503-5of an algorithm is assessed. Amid significant developments in the last decade, several practitioners have highlighted shortcomings with all of these fundamental issues. In this chapter we review the work done in each of these areas, evaluate the criticism and subsequently identify some perspectives for the future of the field.

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