A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
A modified Particle Swarm Optimization algorithm linking dynamic neighborhood topology to parallel computation
International Journal of Advanced Trends in Computer Science and Engineering
In this paper, a novel approach is considered, based on Particle Swarm Optimization (PSO) technique, using two concepts: evolutionary neighborhood topology associated to parallel computation for complex optimization problems. The idea behind using dynamic neighborhood topology is to overcome premature convergence of PSO algorithm, by well exploring and exploiting the search space for a better solution quality. Parallel computation is used to accelerate calculations especially for complexdoi:10.30534/ijatcse/2019/03822019 fatcat:fe5auedtwjdpzgnmzhudcj4xni