Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective funct

This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into dif

Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution

This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It star