Evolutionary computation : theory and applications / editor, Xin Yao.

Format:

Book

Contributor:

Yao, Xin, editor.

Language:

English

Subjects (All):

Evolutionary programming (Computer science).

Evolutionary computation.

Genetic algorithms.

Physical Description:

1 online resource (376 p.)

Place of Publication:

Singapore : World Scientific, [1999]

Language Note:

English

Summary:

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.

Contents:

1. Introduction / X. Yao

2. Evolutionary computation in behavior engineering / M. Colombetti and M. Dorigo

3. A general method for incremental self-improvement andmulti-agent learning / J. Schmidhuber

4. Teacher: a genetics-based system for learning and for generalizing heuristics / B. W. Wah and A. Leumwananonthachai

5. Automatic discovery of protein motifs using genetic programming / J. R. Koza and D. Andre

6. The role of self organization in evolutionary computations / A. C. Tsoi and J. Shaw

7. Virus-evolutionary genetic algorithm and its application to traveling salesman problem / T. Fukuda, N. Kubota, and K. Shimojima

8. Hybrid evolutionary optimization algorithm for constrained problems / J.-H. Kim and H. Myung

9. CAM-BRAIN - the evolutionary engineering of a billion neuron artificial brain / H. de Garis

10. An evolutionary approach to the N-player iterated prisoner's dilemma game / X. Yao and P. Darwen.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references (p. 356-357) and index.

Description based on print version record.

ISBN:

9789812817471

9812817476

9781299133013

1299133010