Particle swarm optimisation (PSO) is one of the recently developed swarm intelligent optimisation 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 optimisation 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.
This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm.
This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field.
A particle swarm optimization approach in the construction of optimal risky portfolios. 23. IASTED international multi conference artificial intelligence and applications journal, February 14–16 (pp. 140–145). Australia: Innsbruck.
This book presents information on particle swarm optimisation such as using mono-objective and multi-objective particle swarm optimisation for the tuning of process control laws; convergence issues in particle swarm optimisation; study on ...
Dr. Di Zhou, Dr. Haixia Long and Dr. Hao Gao. We are extremely grateful to various senior academics, including Professor Jingyu Yang, Professor Zhihua Zhou and Professor Josef Kittler, who have participated in the discussion of several ...
"This book presents the most recent and established developments of Particle swarm optimization (PSO) within a unified framework by noted researchers in the field"--Provided by publisher.
Four modified versions of particle swarm optimizer (PSO) have been applied to the economic power dispatch with valve-point effects.
In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances ...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics.