Swarm Particle Optimization

International journal of swarm intelligence and evolutionary computation is one of the best journals in swarm particle optimization and publishes original research and reviews as well as interesting articles intended to encourage further research. The Editorial Board of the journal includes eminent personalities from the field of science and technology who are involved in the regular review and editing of the submitted papers contributing to the high quality content. The journal has contributed many landmark papers in the field of swarm particle optimization. Particle swarm optimization is defined as a computational method that optimizes a problem to improve a given measure of quality. PSO optimizes a problem by having a population of candidate solutions and moving these particles around to simple mathematical formulae. Each particles movement is influenced by its local best known position. This is expected to move the swarm toward the best solutions. International journal of swarm intelligence and evolutionary computation is published by OMICS Group, a strong supporter of the Open Access publication model. OMICS has resulted into a large repertoire of 700+ peer-reviewed journals which are running smoothly through the efforts and assistance of 50,000+ editorial board members. OMICS Group has been expanding its publication services by acquiring reputed journals from many prestigious publishers from different parts of the world.
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Last date updated on June, 2014

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