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Evolutionary Computation 2
Advanced Algorithms and Operators
Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of...
Published November 19th 2000 by Taylor & Francis
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Evolutionary Computation 1
Basic Algorithms and Operators
The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to-date...
Published December 31st 1999 by Taylor & Francis
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Handbook 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...
Published December 31st 1996 by Taylor & Francis