id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tdnnq4nh5ncl5ivyaa77h3ysoq	Ireneusz Gosciniak	A new approach to particle swarm optimization algorithm	2015	39	.pdf	application/pdf	9894	1135	66	Title: A new approach to particle swarm optimization algorithm These studies concern the particle swarm optimization algorithm as Keywords: Co-evolutionary systems, PSO algorithm, predator-prey Adaptation mechanisms make these algorithms more efficient than a completely random search of solution space. metaphors in the group of immune algorithms and particle swarm optimization defined in the particle swarm optimization algorithm. different in each group of algorithms and the functions creating co-evolution can It is a predator-prey algorithm, that illustrates the example of the The proposed algorithm shows cooperation of two systems of particles: predators and their prey. The reduction of predators is an indicator of local extrema exploitation and the mechanism of the solution space exploration (cluster of the designation of global extreme of test functions in relation to certain algorithms of optimization. Xu, Particle swarm algorithm with hybrid mutation strategy, clustering by predator prey particle swarm optimization, in: IEEE Congress	./cache/work_tdnnq4nh5ncl5ivyaa77h3ysoq.pdf	./txt/work_tdnnq4nh5ncl5ivyaa77h3ysoq.txt