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中图分类法:
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TP18 版次： |
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著者:
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Couceiro, Micael. |
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题名:
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Fractional order darwinian particle swarm optimization : [ applications and evaluation of an evolutionary algorithm /] / , |
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版次:
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2016th ed. |
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出版发行:
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出版地： Cham : 出版社： Springer, 出版日期： 2015. |
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载体形态:
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75 p. ; 24 cm. |
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内容提要:
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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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主题词:
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Swarm intelligence. |
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主题词:
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Mathematical optimization. |
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主题词:
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Evolution equations. |
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主要责任者:
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Ghamisi, Pedram. |
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索书号:
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1 |