Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Author :
Publisher : Springer Nature
Total Pages : 192
Release :
ISBN-10 : 9783030611118
ISBN-13 : 3030611116
Rating : 4/5 (116 Downloads)

Book Synopsis Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications by : Modestus O. Okwu

Download or read book Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications written by Modestus O. Okwu and published by Springer Nature. This book was released on 2020-11-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications Related Books

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Language: en
Pages: 192
Authors: Modestus O. Okwu
Categories: Technology & Engineering
Type: BOOK - Published: 2020-11-13 - Publisher: Springer Nature

GET EBOOK

This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot addres
Nature-Inspired Optimization Algorithms
Language: en
Pages: 277
Authors: Xin-She Yang
Categories: Computers
Type: BOOK - Published: 2014-02-17 - Publisher: Elsevier

GET EBOOK

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach
Artificial Intelligence, Evolutionary Computing and Metaheuristics
Language: en
Pages: 797
Authors: Xin-She Yang
Categories: Technology & Engineering
Type: BOOK - Published: 2012-07-27 - Publisher: Springer

GET EBOOK

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it
Advanced Optimization by Nature-Inspired Algorithms
Language: en
Pages: 166
Authors: Omid Bozorg-Haddad
Categories: Technology & Engineering
Type: BOOK - Published: 2017-06-30 - Publisher: Springer

GET EBOOK

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been pro
Metaheuristics in Machine Learning: Theory and Applications
Language: en
Pages: 765
Authors: Diego Oliva
Categories: Computational intelligence
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut