Neuro-computers help solve brain-like techniques which are hard to be solved by conventional architectures. l Several case studies using real-world data sets as a benchmark provided as a learning paradigm for neuro-computer designers l New genetic opertators introduced which consistently outperform conventional crossover and mutation based genetic algorithms

Foreword / Preface / Notations and Symbols / Introduction/ Historical Background / Composite Optimization Strategy / The Search for Global Solution / Generalization and Fault Tolerance / Genetic Training in Neuro-Computers / Simulation and Case Studies / Epilogue / Bibliography / Index.

Senior Graduate students of Computer Science and Engineering.