Nature-Inspired Computation in Engineering

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Nature-Inspired Computation in Engineering by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319302355
Publisher: Springer International Publishing Publication: March 19, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319302355
Publisher: Springer International Publishing
Publication: March 19, 2016
Imprint: Springer
Language: English

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

 

More books from Springer International Publishing

Cover of the book Equations of Motion in Relativistic Gravity by
Cover of the book Case Studies in Medical Toxicology by
Cover of the book Transition Towards 100% Renewable Energy by
Cover of the book Animals, Race, and Multiculturalism by
Cover of the book Information Security by
Cover of the book Sustainability in Fashion by
Cover of the book Advances in Affective and Pleasurable Design by
Cover of the book Groin Pain Syndrome by
Cover of the book Religious Renewal in France, 1789-1870 by
Cover of the book Augmented Reality Games I by
Cover of the book Rhinitis and Related Upper Respiratory Conditions by
Cover of the book Clavicle Injuries by
Cover of the book Introduction to Wind Energy Systems by
Cover of the book Expanding Peace Ecology: Peace, Security, Sustainability, Equity and Gender by
Cover of the book Urban Vulnerability and Climate Change in Africa by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy