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. The Handbook of Evolutionary Computation addresses the need for a comprehensive source of reference in the maturing field of evolutionary computation. The handbook is available in a looseleaf print format and an online format.
Table of Contents
Foreword by Kenneth de Jong, Hans-Paul Schwefel, and Lawrence J. Fogel Preface Introduction Fundamental Concepts of Evolutionary Computation Evolutionary Computation Models Hybrid Approaches Evolutionary Computation Implementations Applications of Evolutionary Computation Evolutionary Computation in Practice: Case Studies
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