Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Ben Niu Conference proceedings 2017 Springer International Pu

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,Introduction à l’optimisation de formes,parameters often depend on each optimization problem. However, it is difficult to decide the appropriate parameter setting for each problem in advance. In this study, the effect of parameter difference of the major crossover operators: Simulated Binary crossover (SBX), Differentioal Evolution operat

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Candace Walkington,Dawn M. Woods-objective chaotic evolution (MOCE). It extends the optimization application of chaotic evolution algorithm to multi-objective optimization field. The non-dominated sorting and tournament selection using crowding distance are two techniques to ensure Pareto dominance and solution diversity in EMO al

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https://doi.org/10.1007/978-3-030-80008-6nt comparison metrics on interval values and the associated offspring generations are critical. We first present a neighboring dominance metric for interval numbers comparisons. Then, the potential dominant solutions are predicted by constructing a directed graph with the neighboring dominance. We d

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Language and Rule of Law in Classical Athensquacy of an order reduction problem solution is estimated using two different criteria, but only one of them identifies the model. In this study, it was suggested to identify the parameters using both of the criteria, and since the criteria are complex and multi-extremum there is a need for a powerf

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