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Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems

机译:用捕食-被捕食法优化种群的遗传算法求解多峰问题

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Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emergence of redundant species, overlapping or performance degradation by significantly increasing the number of individuals to be evaluated. This paper presents the implementation of a method based on the predator-prey technique, with the aim of providing a solution to the problem, as well as a number of examples to prove its effectiveness.
机译:近年来,遗传算法已被证明是解决某些问题的合适工具。但是,搜索空间是否具有多个有效解决方案并不重要,因为它们的经典方法不足。为此,已经成功提出了将个体分为物种的想法。但是,该解决方案没有缺点,例如通过显着增加要评估的个体数量而出现冗余物种,重叠或性能下降。本文提出了一种基于捕食者—猎物技术的方法的实现,目的是提供一个解决该问题的方法,并提供了许多实例来证明其有效性。

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