Handbook of Evolutionary Computation (Computational Intelligence Library)
Editorial Reviews
Book Description
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 thereof) to tackle problems that are either intractable or unrealistically
time consuming to solve through traditional computational strategies. Recently there have been vigorous initiatives to promote cross-fertilization between the EC paradigms, and also to combine these paradigms with other approaches such as neural networks to create hybrid systems with enhanced
capabilities. To address the need for speedy dissemination of new ideas in these fields, and also to assist in cross-disciplinary communications and understanding, Oxford University Press and the Institute of Physics have joined forces to create a major reference publication devoted to EC
fundamentals, models, algorithms and applications. This work is intended to become the standard reference resource for the evolutionary computation community. The Handbook of Evolutionary Computation will be available in loose-leaf print form, as well as in an electronic version that combines both
CD-ROM and on-line (World Wide Web) access to its contents. Regularly published supplements will be available on a subscription basis.
Handbook of Evolutionary Computation (Computational Intelligence Library),Thomas B"ack,David B. Fogel,Zbigniew Michalewicz,Published in cooperation with the Institute of Physics,0750303921,Artificial Intelligence - General,Computer Books: General,Computer Science,Computers,Computers - General Information,Data Processing - General,Evolutionary computation,Genetic Algorithms,Handbooks, manuals, etc,Neural Networks,Neural networks (Computer science),Theory Of Computing,Mathematical theory of computation
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