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.
"This second volume provides very interesting information and updated material on additional topics. It also covers some advanced techniques and discusses the efficient implementation of evolutionary algorithms."
-H.D. Hecker, Zentralblatt Math
Introduction to fitness evaluation
Encoding and decoding functions
Competitive fitness evaluation
Complexity-based fitness evaluation
Introduction to constraint-handling techniques
Other constraint-handling methods
Island (migration) models: evolutionary algorithms based on punctuated equilibria
Diffusion (cellular) models
ADVANCED TECHNIQUES IN EVOLUTIONARY COMPUTATION
IMPLEMENTATION OF EVOLUTIONARY ALGORITHMS
Efficient implementation of algorithms
Computation time of evolutionary operators
Hardware realizations of evolutionary algorithms