Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as
CONTENT
1 Evolutionary Algorithms -- 2 Artificial Neural Networks -- 3 Fuzzy Systems -- 4 Evolutionary Design of Artificial Neural Networks -- 5 Evolutionary Design of Fuzzy Systems -- 6 Neuro-fuzzy Systems -- 7 Fuzzy Evolutionary Algorithms -- 8 Natural Parallel (Soft) Computing -- 9 Epilogue
