ABSTRACT

Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation.

Evolutionary Com

chapter 1|20 pages

Principles of evolutionary computation

chapter 2|18 pages

Genetic algorithms

chapter 5|20 pages

Further selection strategies

chapter 7|22 pages

Mutation operators and related topics

chapter 9|26 pages

Real-valued encoding

chapter 14|24 pages

Genetic programming

chapter 15|20 pages

Learning classifier systems

chapter 16|36 pages

Applications of evolutionary computation