Abstract
We propose a new approach towards Particle Swarm Optimization named Agent-based PSO. The swarm is elevated to the status of a multi-agent system by giving the particles more autonomy, an asynchronous execution, and superior learning capabilities. The problem space is modeled as an environment which forms clusters of points that are known to be non-optimal and this transforms the environment into a more dynamic and informative resource.
Recommended Citation
Ahmad, Raheel, Lee, Yung-Chuan, Rahimi, Shahram and Gupta, Bidyut. "A Multi-Agent Based Approach for Particle Swarm Optimization." (May 2007).
COinS
Comments
Published in Ahmad, R., Lee, Y.-C., Rahimi, S., & Gupta, B. (2007). A multi-agent based approach for particle swarm optimization. International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007, 267-271. doi: 10.1109/KIMAS.2007.369820 ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.