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Diversity Enhancing Mechanisms for Evolutionary Optimization in Static and Dynamic Environments

The population diversity is an important issue in evolutionary optimization, playing the main role in exploring the search space. The aim of this paper is to analyze the influence of some diversity enhancing mechanisms on the ability of two algorithms related to evolutionary optimization, differential evolution and particle swarm optimization, to solve static and dynamic optimization problems.