Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers; genetic algorithms for multi-classifier design; evolutionary grooming of traffic; evolutionary particle swarms; fuzzy logic systems using genetic algorithms; evolutionary algorithms and immune learning for neural network-based controller design; distributed problem solving using evolutionary learning; evolutionary computing within grid environment; evolutionary game theory in wireless mesh networks; hybrid multiobjective evolutionary algorithms for the sailor assignment problem; evolutionary techniques in hardware optimization. This book will be useful to researchers in intelligent systems with interest in evolutionary computing, application engineers and system designers. The book can also be used by students and lecturers as an advanced reading material for courses on evolutionary computing. TOC:Introduction to Evolutionary Computing in System Design.- Evolutionary Neuro-Fuzzy Systems and Applications.- Evolution of Fuzzy Controllers and Applications.- A Neuro-Genetic Approach for Multi-Classifier Design.- Evolutionary Grooming of Traffic.- Evolutionary Particle Swarms.- Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithm.- Designing Recurrent Neural Network-based Controller.- Distributed Problem Solving using Evolutionary Learning.- Evolutionary Computing within Grid Environment.- Evolutionary Game Theory with Applications to Wireless.- Applying Hybrid Multiobjective Evolutionary Algorithms to the Sailor Assignment problem.- Evolutionary Techniques applied to Hardware Optimization Problems. Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers; genetic algorithms for multi-classifier design; evolutionary grooming of traffic; evolutionary particle swarms; fuzzy logic systems using genetic algorithms; evolutionary algorithms and immune learning for neural network-based controller design; distributed problem solving using evolutionary learning; evolutionary computing within grid environment; evolutionary game theory in wireless mesh networks; hybrid multiobjective evolutionary algorithms for the sailor assignment problem; evolutionary techniques in hardware optimization. This book will be useful to researchers in intelligent systems with interest in evolutionary computing, application engineers and system designers. The book can also be used by students and lecturers as an advanced reading material for courses on evolutionary computing. Preface V 1 Introduction to Evolutionary Computing in System Design Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim 1 2 Evolutionary Neuro-Fuzzy Systems and Applications G. Castellano, C. Castiello, A.M. Fanelli, L. Jain 11 3 Evolution of Fuzzy Controllers and Applications Dilip Kumar Pratihar, Nirmal Baran Hui 47 4 A Neuro-Genetic Framework for Multi-Classifier Design: An Application, to Promoter Recognition in DNA Sequences Romesh Ranawana and Vasile Palade 71 5 Evolutionary Grooming of Traffic in WDM Optical Networks Yong Xu and Kunhong Liu 95 6 EPSO: Evolutionary Particle Swarms V. Miranda, Hrvoje Keko, Alvaro Jaramillo 139 7 Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms Woei-Wan Tan, Dongrui Wu 169 8 Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, and Kay Chen Tan 189 9 Distributed Problem Solving using Evolutionary Learning in Multi-Agent Systems Dipti Srinivasan, Min Chee Choy 211 10 Evolutionary Computing within Grid Environment Ashutosh Tiwari, Gokop Goteng, and Rajkumar Roy 229 11 Application of Evolutionary Game Theory to Wireless Mesh Networks Athanasios Vasilakos, Markos Anastasopoulos 249 12 Applying Hybrid Multiobjective Evolutionary Algorithms to the Sailor Assignment Problem Deon Garrett, Dipankar Dasgupta, Joseph Varinucci, James Simien 269 13 Evolutionary Techniques Applied to Hardware Optimization Problems: Test and Verification of Advanced Processors Ernesto Sanchez and Giovanni Squillero 303