A simple strategy to maintain diversity and reduce crowding in particle swarm optimization
Download (232.94 kB)
-
Altmetric Citations
Chen, Stephen; Montgomery, James
Description
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]
Collections | ANU Research Publications |
---|---|
Date published: | 2011 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/8878 |
Source: | Lecture Notes in Computer Science (LNCS) |
DOI: | 10.1007/978-3-642-25832-9_29 |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
Chen_Simple2011.pdf | 232.94 kB | Adobe PDF |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator