Book Description:
Swarm Intelligence (SI) describes the evolving collective intelligence of population/groups of autonomous agents with a low level of intelligence. The population of agents interacts with each other or their environment locally using decentralized and self-organizational aspects in their decision making. SI and related sub-methods that follow its principles are used for problem solving in a variety of areas, such as robotics and forecasting. This book discusses swarm intelligence techniques and fuzzy logic as useful tools for solving practical engineering problems and the utilization of a swarm intelligence algorithm to obtain the optimum neural network structure. Also explored is the application of Particle Swarm Optimization (PSO) methods to inverse heat radiation problems and PSO as a technique in computational electromagnetism problems.

Table of Contents:
Preface

Swarm Intelligence and Fuzzy Systems
(Seyed-Hamid Zahiri, Department of Electrical Engineering, Faculty of Engineering, Birjand University, Birjand, Iran)

Evolutionary Strategies to Find Pareto Fronts in Multiobjective Problems
(Voratas Kachitvichyanukul, Nguyen Phan Bach Su, Industrial and Manufacturing Engineering, Asian Institute of Technology, Klongluang, Pathumthani, Thailand)

Particle Swarm Optimization Applied to Real-World Combinatorial Problems: The Case Study of the In-Core Fuel Management Optimization
(Anderson Alvarenga de Moura Meneses, Roberto Schirru, Nuclear Engineering Program/COPPE, Federal University of Rio de Janeiro, Brazil)

Swarm Intelligence and Artificial Neural Networks
(Mayssam Amiri, Seyed-Hamid Zahiri, Research Committee, Shiraz Electric Power Distribution Company (SHEDC), Shiraz, Iran, and others)

Swarm Intelligence for the Self-Assembly of Neural Networks ^
(Charles E. Martin and James A. Reggia, Departments of Mathematics and Computer Science, University of Maryland, College Park, MD 20742 USA)

Application of Particle Swarm Optimization Method to Inverse Heat Radiation Problem
(Kyun Ho Lee, Korea Aerospace Research Institute, Yuseong-gu, Daejeon, Republic of Korea)

Ant Colony Optimization for Fuzzy System Parameter Optimization: From Discrete to Continuous Space
(Chia-Feng Juang, Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, Republic of China)

Particle Swarm Optimization: A Survey
Sepide Samadzadegan, Adham Atyabi, Linköping University, Sweden, and others)

Application of PSO to Electromagnetic and Radar-Related Problems in Non Cooperative Target Identification
(B. Errasti-Alcalá, A. Jurado-Lucena, D. Escot-Bocanegra, D. Poyatos-Martínez, R. Fernández-Recio, I. Montiel-Sánchez, Detectability and Electronic Warfare Laboratory, National Institute of Aerospace Technology (INTA), Torrejón de Ardoz, Spain)

Ant Colony Optimization: A Powerful Strategy for Biomarker Feature Selection
(Weixiang Zhao, Cristina E. Davis, Department of Mechanical and Aerospace Engineering, University of California, Davis, California)

Swarm Intelligence Based Anonymous Authentication Protocol for Dynamic Group Management in EHRM System
(N.K. Sreelaja, G.A. Vijayalakshmi Pai, Department of Mathematics and Computer Applications, PSG College of Technology, Coimbatore, India)*

Index