Colonial multi-swarm: A modular approach to administration of particle swarm optimization in large scale problems
AF Moeini, P Tajvar, R Asgharian… - 2014 22nd Iranian …, 2014 - ieeexplore.ieee.org
In this paper we have introduced the colonial multi-swarm, an algorithm with modular
characteristics that can be augmented on several existing variants of Particle Swarm
Optimization to alleviate the premature convergence problem. Colonial multi-swarm ensures
a decent degree of exploration by administrating a number of parallel swarms. It uses a meta-
level decision system that allows the particles to switch their swarms when they are not
successful in their own. This migration strategy helps preserve the local exploitation of …
characteristics that can be augmented on several existing variants of Particle Swarm
Optimization to alleviate the premature convergence problem. Colonial multi-swarm ensures
a decent degree of exploration by administrating a number of parallel swarms. It uses a meta-
level decision system that allows the particles to switch their swarms when they are not
successful in their own. This migration strategy helps preserve the local exploitation of …
[PDF][PDF] Colonial Multi-Swarm: A Modular Approach to Administration of Particle Swarm Optimization In Large Scale Problems
M Branch - academia.edu
In this paper we have introduced the colonial multiswarm, an algorithm with modular
characteristics that can be augmented on several existing variants of Particle Swarm
Optimization to alleviate the premature convergence problem. Colonial multi-swarm ensures
a decent degree of exploration by administrating a number of parallel swarms. It uses a meta-
level decision system that allows the particles to switch their swarms when they are not
successful in their own. This migration strategy helps preserve the local exploitation of …
characteristics that can be augmented on several existing variants of Particle Swarm
Optimization to alleviate the premature convergence problem. Colonial multi-swarm ensures
a decent degree of exploration by administrating a number of parallel swarms. It uses a meta-
level decision system that allows the particles to switch their swarms when they are not
successful in their own. This migration strategy helps preserve the local exploitation of …
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