Introduction to Nature-Inspired Optimization /

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and...

Full description

Bibliographic Details
Main Authors: Lindfield, George, author 326764, Penny, John, author 649584, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: London : Academic Press, 2017
Subjects:
Online Access:https://www.sciencedirect.com/science/book/9780128036365
_version_ 1826472352303546368
author Lindfield, George, author 326764
Penny, John, author 649584
ScienceDirect (Online service) 7722
author_facet Lindfield, George, author 326764
Penny, John, author 649584
ScienceDirect (Online service) 7722
author_sort Lindfield, George, author 326764
collection OCEAN
description Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.
first_indexed 2024-03-05T17:17:11Z
format software, multimedia
id KOHA-OAI-TEST:604191
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T17:17:11Z
publishDate 2017
publisher London : Academic Press,
record_format dspace
spelling KOHA-OAI-TEST:6041912023-09-11T14:24:49ZIntroduction to Nature-Inspired Optimization / Lindfield, George, author 326764 Penny, John, author 649584 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,©20172017engIntroduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.Includes bibliographical references and indexChapter 1. An Introduction to Optimization -- Chapter 2. Evolutionary Algorithms -- Chapter 3. Particle Swarm Optimization Algorithms -- Chapter 4. The Cuckoo Search Algorithm -- Chapter 5. The Firefly Algorithm -- Chapter 6. Bacterial Foraging Inspired Algorithm -- Chapter 7. Artificial Bee and Ant Colony Optimization -- Chapter 8. Physics Inspired Optimization Algorithms -- Chapter 9. Integer, Constrained and Multi-Objective Optimization -- Chapter 10. Recent Developments and Comparative Studies.Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.Mathematical optimizationAlgorithmshttps://www.sciencedirect.com/science/book/9780128036365URN:ISBN:9780128036365Remote access restricted to users with a valid UTM ID via VPN.
spellingShingle Mathematical optimization
Algorithms
Lindfield, George, author 326764
Penny, John, author 649584
ScienceDirect (Online service) 7722
Introduction to Nature-Inspired Optimization /
title Introduction to Nature-Inspired Optimization /
title_full Introduction to Nature-Inspired Optimization /
title_fullStr Introduction to Nature-Inspired Optimization /
title_full_unstemmed Introduction to Nature-Inspired Optimization /
title_short Introduction to Nature-Inspired Optimization /
title_sort introduction to nature inspired optimization
topic Mathematical optimization
Algorithms
url https://www.sciencedirect.com/science/book/9780128036365
work_keys_str_mv AT lindfieldgeorgeauthor326764 introductiontonatureinspiredoptimization
AT pennyjohnauthor649584 introductiontonatureinspiredoptimization
AT sciencedirectonlineservice7722 introductiontonatureinspiredoptimization