This book is a delight for academics researchers and professionals working in evolutionary and
swarm computing computational intelligence machine learning and engineering design as well
as search and optimization in general. It provides an introduction to the design and
development of a number of popular and recent swarm and evolutionary algorithms with a focus on
their applications in engineering problems in diverse domains. The topics discussed include
particle swarm optimization the artificial bee colony algorithm Spider Monkey optimization
algorithm genetic algorithms constrained multi-objective evolutionary algorithms genetic
programming and evolutionary fuzzy systems. A friendly and informative treatment of the topics
makes this book an ideal reference for beginners and those with experience alike.
