Synopses & Reviews
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 evolutionary algorithms. It is intended to be used by individual researchers and students in the expanding field of evolutionary computation.
Synopsis
The field of evolutionary computation is expanding dramatically, fuelled by vast investment reflecting the value of applications of its techniques.
The number of courses offered in evolutionary computing is growing rapidly: reflecting demand for material published in Handbook of Evolutionary Computation to be published in units suitable for use by students and teachers as well as individual researchers, we are publishing two volumes on algorithms and operators. The books contain material which has been brought right up to date, as well as some new contributions.
This volume 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 implementation of evolutionary algorithms. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation.