Evolutionary and Swarm Intelligence Algorithms

Download or Read eBook Evolutionary and Swarm Intelligence Algorithms PDF written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-06-06 with total page 194 pages. Available in PDF, EPUB and Kindle.
Evolutionary and Swarm Intelligence Algorithms
Author :
Publisher : Springer
Total Pages : 194
Release :
ISBN-10 : 9783319913414
ISBN-13 : 3319913417
Rating : 4/5 (14 Downloads)

Book Synopsis Evolutionary and Swarm Intelligence Algorithms by : Jagdish Chand Bansal

Book excerpt: 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.


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The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function.