Click Here to Download: https://ouo.io/Rgqg2w Fractional Order Darwinian Particle Swarm Optimization Applications and Evaluation of an Evolutionary Algorithm By: Micael Couceiro; Pedram Ghamisi Publisher: Springer Print ISBN: 9783319196343, 3319196340 eText ISBN: 9783319196350, 3319196359 Copyright year: 2016 Format: PDF Available from $ 69.99 USD SKU 9783319196350 This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.
