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Titlebook: Handbook of Optimization; From Classical to Mo Ivan Zelinka,Václav Snášel,Ajith Abraham Book 2013 Springer-Verlag Berlin Heidelberg 2013 He

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Theory and Applications of Hybrid Simulated Annealing,ot guarantee convergence to the global optimum. On the other hand, global optimization techniques based on stochastic approaches such as evolutionary algorithms and simulated annealing provide the possibility of global convergence, which is accomplished at the expense of computational and time compl
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Adaptive Variants of Differential Evolution: Towards Control-Parameter-Free Optimizers,The opposition-based optimization was also implemented to each adaptive variant and compared in experiments. It was found that all the algorithms perform very reliably in the problems of . = 30, whereas their reliability rate in the problems of . = 100 differs substantially among the test problems.
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Evolutionary Algorithms Based on Game Theory and Cellular Automata with Coalitions,stricted to the closest ones. The use of decentralized populations in GAs allows to keep the population diversity for longer, usually resulting in a better exploration of the search space and, therefore in a better performance of the algorithm. However, the use of decentralized populations supposes
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