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Localized Island Model Genetic Algorithm in Population Diversity Preservation

机译:局部岛屿模型遗传算法在种群多样性保护中

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Premature convergence in island model is a consequence of the selection in migration mechanism. It is a process of migrating several individuals (usually the best one) from a source into destination island to keep its diversity. The main reason is the similar characteristic of relocated individual because of the genetic operator configurations are similar. Localized Island Model GA (LIMGA) tries to implement different island characteristics (localization strategy) to preserve the islands' diversity. By harmonizing standard GA, pseudo GA, and informed GA; LIMGA could overcome general optimization problem with a great result and acceptable execution time. Moreover, because of its success in maintaining the diversity, LIMGA could lead the current best-known-so-far solver for this case.
机译:岛模型的早产是在迁移机制中选择的结果。这是一种从源头迁移到目的地岛屿的几个(通常是最好的一个),以保持其多样性。由于遗传操作员配置类似,主要原因是重置个体的类似特征。本地化岛式模型GA(利马)试图实施不同的岛屿特征(本地化策略)以保护岛屿的多样性。通过协调标准GA,PSEUDO GA和知情GA;利马可以通过伟大的结果和可接受的执行时间来克服一般优化问题。此外,由于其在维持多样性方面取得了成功,利马可以在这种情况下引领目前最知名的最令人着名的求解器。

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