Advances in Cognitive Informatics and Cognitive Computing

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.