Handbook of Evolutionary Computation

The second in a series of three works that form the Computational Intelligence Library, this volume addresses many areas in in the field of maturing 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 address the need for speedy dissemination of new ideas in these fields and also to assist in cross-disciplinary communications and understanding, IOP Publishing and Oxford University Press have joined forces to create a major reference publication devoted to evolutionary computation fundamentals, models, algorithms and applications. It is available in an updatable looseleaf print format, as well as in an electronic version that combines both CD-ROM and on-line access to its contents. Regularly published supplements will be available on a subscription basis.