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 Human Rights, Transitional Justice, and the Reconstruction of Political Order in Latin America by
Cover of the book ICT-Supported Innovations in Small Countries and Developing Regions by
Cover of the book Molecular Computing by
Cover of the book Maritime Security Risks, Vulnerabilities and Cooperation by
Cover of the book Dynamics of Glassy, Crystalline and Liquid Ionic Conductors by
Cover of the book Corporate Social Responsibility in India by
Cover of the book Industry 4.0 and Engineering for a Sustainable Future by
Cover of the book Mathematics Education in East Africa by
Cover of the book Graph-Theoretic Concepts in Computer Science by
Cover of the book Foundations of Security Analysis and Design VIII by
Cover of the book Differentiation of Enantiomers II by
Cover of the book Meta-Analysis with R by
Cover of the book A Different Approach to Work Discipline by
Cover of the book Neural Functions of the Delta-Opioid Receptor by
Cover of the book Excel 2016 for Engineering Statistics 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