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A simple strategy to maintain diversity and reduce crowding in particle swarm optimization

Chen, Stephen; Montgomery, James


Each particle in a swarm maintains its current position and its personal best position. It is useful to think of these personal best positions as a population of attractors -- updates to current positions are based on attractions to these personal best positions. If the population of attractors has high diversity, it will encourage a broad exploration of the search space with particles being drawn in many different directions. However, the population of attractors can converge quickly --...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Lecture Notes in Computer Science (LNCS)
DOI: 10.1007/978-3-642-25832-9_29


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