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...
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| Format: | software, multimedia |
| Language: | eng |
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London : Academic Press,
2017
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780128036365 |
| _version_ | 1826472352303546368 |
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| 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 |