Max-Min Particle Swarm Optimization Algorithm with Load Balancing for Distributed Task Scheduling on the Grid Environment
Kalpana C S, U. K. Arun Kumar, R. Gogulan · 2012
In this paper proposes an algorithm namely max min Particle Swarm Optimization with load balancing techniques with the comparison of Swarm Intelligence Algorithms like Ant Colony Optimization. This algorithm is based on the task scheduling in grid environment. First of all we are calculating the QoS constraints to the PSO and ACO like, makespan, Cost and Deadline. Finally we had balanced the load to the particle swarm optimization, and compared with all other algorithms. We conclude the proposed algorithm is the best algorithm which is compared with ACO, PSO, Max PSO and Min PSO.