Particle Swarm Optimization (PSO): Advances in Research and Applications

Brian Walker (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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Particle swarm optimization (PSO) is one of the recently developed swarm intelligent optimization technologies that offer the advantages of simplicity and fast biological convergence. The technique originated from the theory of artificial life and evolution, which is based on the optimization that is achieved as a result of swarm behaviour. PSO can be easily implemented due to fewer parameters for adjustment hence it has been applied broadly in various engineering fields. This book reviews advances in research and applications of PSO. (Imprint: Novinka)


Chapter 1. Particle Swarm Optimization of Cooperative and Competitive Relative Orbit Maneuvers
Mauro Pontani (University “Sapienza,” Rome, Italy)

Chapter 2. Frequency and Voltage Control of Multi Area Power System via Novel Particle Swarm Optimization Techniques
M. A. Ebrahim, Ali. M. Ali and M. A. Moustafa Hassan (Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt, and others)

Chapter 3. Application of PSO to Power Systems
Yimin Zhou (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Xili University Town, Shenzhen, China)


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