Neural networks in optimization. (English) Zbl 1017.90109

Zhang, Xiang-Sun

Nonconvex Optimization and Its Applications. 46. Dordrecht: Kluwer Academic Publishers. xii, 367 p. (2000).

The motivation of this book is to review the relevant materials in the current literature, which include both the application of mathematical programming theory and algorithms in artificial neural network study and applications of novel neural network methods in developing efficient algorithms for solving optimization problems.
The review is presented in the language and thinking mode familiar to the researchers, practitioners and graduate students with a background in the area of optimization research.
The book contains the following parts: I. Concept and models of optimization. II. Basic artificial neural network models. III. Neural algorithms for optimization.

Reviewer: Hans Benker (Merseburg)

MSC:

90C30	Nonlinear programming
90-02	Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming
90C26	Nonconvex programming, global optimization

Keywords:

neural algorithms; application of mathematical programming; artificial neural network