New Achievements In Evolutionary Computation

Evolutionary computation has been widely used in computer science for decades. Even
though it started as far back as the 1960s with simulated evolution, the subject is still
evolving. During this time, new metaheuristic optimization approaches, like evolutionary
algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new
fields of usage in artificial intelligence, machine learning, combinatorial and numerical
optimization, etc., were being explored. However, even with so much work done, novel
research into new techniques and new areas of usage is far from over. This book presents
some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in
computer science, and anyone else with an interest in learning about the latest
developments in evolutionary computation.