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.