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Multi-modal function optimization must be solved when people meet with complex reality problems. With resort to the prominent search performance of CMA-ES and clustering theory, a new algorithm-K-CMA algorithm was presented. By searching local peaks and global peaks of four multi-modal functions, it can be seen from the results that this algorithm has a better result in convergence of algorithm and...
The simultaneous localization and mapping problem with evolutionary algorithms is translated to a multi-objective immune optimization problem since it inherently possesses of multi-objective characters, and in order to efficiently solve the simultaneous localization and mapping problem, a local searcher with immunity is constructed. The local searcher employs domain knowledge of the problem, which...
Some work of calculations of probabilities of operators in genetic algorithm (GA) is summarized, and computation method of probabilities of operators is discussed. With analysis of developing situation of calculations of probabilities of operators, calculations of probabilities of operators in GA guided by cooperation of diversity and fitness is present. Analysis of dynamical curve for diversity change...
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