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


Brian Walker (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000

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)

Table of Contents

Table of Contents


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)


Publish with Nova Science Publishers

We publish over 800 titles annually by leading researchers from around the world. Submit a Book Proposal Now!