SpringerBriefs in Applied Sciences and Technology Fractional Order Darwinian Particle Swarm Optimization - Micael Couceiro Pedram Ghamisi Kartoniert (TB)

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.