By Micael Couceiro,Pedram Ghamisi
This publication examines the bottom-up applicability of swarm intelligence to fixing a number of difficulties, comparable to curve becoming, photograph segmentation, and swarm robotics. It compares the services of a few of the better-known bio-inspired optimization ways, specially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the lately proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their merits and drawbacks. additional, it demonstrates the prevalence and key benefits of utilizing the FODPSO set of rules, corresponding to its skill to supply a better convergence in the direction of an answer, whereas fending off sub-optimality. This booklet deals a worthwhile source for researchers within the fields of robotics, activities technological know-how, trend acceptance and computer studying, in addition to for college kids of electric engineering and computing device science.
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Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology) by Micael Couceiro,Pedram Ghamisi