Neural Computing For Optimization And Combinatorics

Since Hopfield proposed neural-network computing for optimization and combinatorics problems, many neural-network investigators have been working on optimization problems. In this book, a variety of optimization problems and combinatorics problems are presented by respective experts. The book contains applications in graph theory, mathematics, stochastic computing including the multiple relaxation, associative memory and control, resource allocation problems, system identification and dynamic control and job-stop scheduling. It should be useful in solving real-world applications.