Fractional order Darwinian particle swarm optimization : applications and evaluation of an evolutionary algorithm

• 作者： Couceiro, Micael, author.
• 其他作者：
  • Ghamisi, Pedram, author.
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in applied sciences and technology.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： SpringerBriefs in applied sciences and technology,
• 主題： Swarm intelligence. , Mathematical optimization. , Evolution equations. , Engineering. , Computational Intelligence. , Artificial Intelligence (incl. Robotics) , Systems Theory, Control.
• ISBN： 9783319196350 (electronic bk.) 、 9783319196343 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Particle Swarm Optimization (PSO) -- Fractional Order Darwinian PSO (FODPSO) -- Case Study I: Curve Fitting -- Case Study II: Image Segmentation -- Case Study III: Swarm Robotics -- Conclusions.
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• 摘要註: 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.
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