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Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review
2013
International Journal of Computer Applications
For a decade swarm Intelligence deals with the design of intelligent multi-agent systems by taking inspiration from the collective behaviors of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behavior of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with complex problems. The aim of this review paper is to analyze and compare various swarm intelligence evolutionary techniques of load balancing and
doi:10.5120/10540-4675
fatcat:rw4rsjnj7ngmritbik27cyun7u