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Handbook of evolutionary computation. (English) Zbl 0883.68001
Bristol: Adam Hilger, IOP Publishing. 988 p. (1997).
The second in a series of three works that form the Computational Intelligence Library, the Handbook of Evolutionary Computation addresses the need for a comprehensive and readily updatable source of reference in the maturing field of evolutionary computation. Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. To addres the need for speedy dissemination of new ideas in these fields and also to assist in cross-disciplinary communications and understanding, Institute of Physics Publishing and Oxford University Press have joined forces to create a major reference publication devoted to evolutionary computation fundamentals, models, algorithms and applications. The Handbook of Evolutionary Computation is available in a looseleaf print format and an on-line (access via Worldwide Web) format. A supplement has been published All contributions to the Handbook are refereed to the highest standards. The Handbook of Evolutionary Computation is intended to become the standard reference resource for the evolutionary computation community.
Contents: Foreword by K. de Jong, H.-P. Schwefel and L. J. Fogel. Preface. A. Introduction. B. Fundamental Concepts of Evolutionary Computation. C. Evolutionary Computation Models. D. Hybrid Approaches. E. Evolutionary Computation Implementations. F. Applications of Evolutionary Computation. G. Evolutionary Computation in Practice: Case Studies.

68-00 General reference works (handbooks, dictionaries, bibliographies, etc.) pertaining to computer science
68Q10 Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.)