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Animal Food Chain Based Particle Swarm Optimization.
- Source :
- Proceedings of the World Congress on Engineering 2011 Volume I; 2011, p116-121, 6p
- Publication Year :
- 2011
-
Abstract
- Particle Swarm Optimization has been an appealing research area for researchers for over 15 years. During these years, a variety of algorithms have been developed around the particle swarm concept. One of these variations is Predator-Prey Particle Swarm Optimization algorithm which is also based on natural swarms which have a hierarchical relationship. Hunting search has also become a new meta-heuristic originating from hunting structure of species. In this paper, a new Particle Swarm Optimization Algorithm has been developed. Animal Food Chain Based Particle Swarm Optimization Algorithm simulates the animal food chain structure in three swarms: omnivores, carnivores and herbivores, in order to balance exploration and exploitation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9789881821065
- Database :
- Supplemental Index
- Journal :
- Proceedings of the World Congress on Engineering 2011 Volume I
- Publication Type :
- Conference
- Accession number :
- 83288032