Computational Intelligence for Optimization / Edition 1

by Nirwan Ansari, Edwin Hou

Overview

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal­ ing, shastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, shastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementation, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and operational research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our interdisciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.

Product Details

ISBN-13:	9780792398387
Publisher:	Springer US
Publication date:	12/31/1996
Edition description:	1997
Pages:	225
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Preface. 1. Introduction. 2. Heuristic Search Methods. 3. Hopfield-Neural Networks. 4. Simulated Annealing and Shastic Machines. 5. Mean Field Annealing. 6. Genetic Algorithms. 7. The Traveling Salesman Problem. 8. Telecommunications. 9. Point Pattern Matching. 10. Multiprocessor Scheduling. 11. Job Shop Scheduling. References. Index.

Editorial Reviews

A textbook for a first-year graduate course in electrical or computer engineering, computer science, or operational research, and a reference for engineers, scientists, and other specialists in those fields. Describes recent developments in advanced optimization techniques, such as simulated annealing, mean field theory, and genetic algorithms, with the emphasis on mathematical theory. Annotation c. by Book News, Inc., Portland, Or.

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