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Comparative Study of Ant Colony Optimization and Bee Colony Optimization Algorithms in Swarm Intelligence Technique
Abstract
Swarm intelligence is becoming a rising territory into an area of optimization and specialists have created different methodology by displaying the practices of various swarms i.e. insects, honey bees, etc. Swarm intelligence is the group of systems, in which they assemble who is taking active role for a communication among agents through the surroundings. Ant Colony Optimization (ACO) is a swarm based algorithm that is inspired from the real Ant colonies. Bee Colony Optimization (BCO) relies on upon the savvy rummaging conduct of bumble bees. In this survey paper, we accentuation on two broadly utilized swarm techniques: ACO and BCO alongside its prominent variations. We conclude this paper with calculated examination of these two methods.
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References
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