Titlebook: Evolutionary Computations; New Algorithms and t Keigo Watanabe,M. M. A. Hashem Book 2004 Springer-Verlag Berlin Heidelberg 2004 Normal.algo

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https://doi.org/10.1057/9781137436542ings. This tendency has attracted attention of many researchers in the area of engineering, computer science, locomotion, and so on. Among the broad set of research areas in IAR navigation, collision avoidance is indispensable for autonomous navigation. The research in this field can be divided into

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Evolutionary Optimization of Constrained Problems, infeasible solutions. This death penalty offers a few simplifications of the algorithm: for example, there is no need to evaluate infeasible solutions and to compare them with feasible ones. Fortunately, this method may work reasonably well when the feasible search space is convex and it constitute

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An Incest Prevented Evolution Strategy Algorithm,cause more individuals are involved in the search but the computational effort is increased thereby. Hence, most of the evolutionary algorithms are used for moderately small population size and this trade-off is pronounced due to mating of similar individuals.

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1434-9922 o may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks..978-3-642-05887-5978-3-540-39883-7Series ISSN 1434-9922 Series E-ISSN 1860-0808

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