Nature-Inspired Algorithms and Applied Optimization

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Nature-Inspired Algorithms and Applied Optimization 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: 9783319676692
Publisher: Springer International Publishing Publication: October 8, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319676692
Publisher: Springer International Publishing
Publication: October 8, 2017
Imprint: Springer
Language: English

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

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

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

More books from Springer International Publishing

Cover of the book Thyroid Nodules by
Cover of the book Chemistry and Technology of Yoghurt Fermentation by
Cover of the book Atlas of Multiparametric Prostate MRI by
Cover of the book The Colorado Mathematical Olympiad: The Third Decade and Further Explorations by
Cover of the book Advances in Design for Inclusion by
Cover of the book The Dynamism of Civil Procedure - Global Trends and Developments by
Cover of the book Happy City - How to Plan and Create the Best Livable Area for the People by
Cover of the book Reduced-Order Modeling (ROM) for Simulation and Optimization by
Cover of the book Constructing Transgressive Sexuality in Screenwriting by
Cover of the book Operator Theoretic Aspects of Ergodic Theory by
Cover of the book Characteristics of Temporary Migration in European-Asian Transnational Social Spaces by
Cover of the book Tsunamis and Earthquakes in Coastal Environments by
Cover of the book Human Language Technology. Challenges for Computer Science and Linguistics by
Cover of the book Mediastinal Lesions by
Cover of the book Scale in Literature and Culture 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