Format:
Online Ressource (xiv, 360 p.)
,
ill.
Edition:
Online-Ausg.
ISBN:
9789812817471
,
9812817476
Content:
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.
Content:
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
Note:
Includes bibliographical references (p. 356-357) and index. - Description based on print version record
Additional Edition:
9810223064
Additional Edition:
9789810223069
Additional Edition:
Erscheint auch als Druck-Ausgabe Evolutionary computation
Language:
English
Subjects:
Computer Science
Keywords:
Electronic books
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