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
Mutual Representations in the Modern Era
This volume ties together the histories of Japan and China for the modern period prior to the 20th century. The chapters look at Chinese and Japanese works which were written in response to events in the other country. None of these works has received any sustained attention in the...
Published April 24th 2000 by Routledge
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
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
One of the most profound insights of the dynamic systems perspective is that new structures resulting from the developmental process do not need to be planned in advance, nor is it necessary to have these structures represented in genetic or neurological templates prior to their emergence. Rather,...
Published December 31st 1996 by Psychology Press