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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!