Swarm Intelligence Algorithms: Modifications and Applications
Editat de Adam Slowiken Limba Engleză Hardback – feb 2027
Swarm Intelligence Algorithms: Modifications and Applications (Second Edition) enables the reader to learn the basic principles behind swarm intelligence algorithms, and discover how to modify them and use them effectively to solve practical problems. Offering 36 swarm intelligence algorithms with their modifications and practical applications, each chapter focuses on a specific algorithm and contains a concise description, pseudocode illustrating the successive stages of its operation, as well as a discussion of selected modifications and an example of a practical application for solving a specific problem. The chapters have been prepared by renowned and experienced researchers working in the fields of artificial intelligence, optimization, and nature-inspired algorithms, making the book a valuable source of both theoretical and practical knowledge.
Key Features:
- Enables the reader to learn how to adapt basic methods to more challenging problems by offering algorithm modifications
- Offers practical applications that showcase how the algorithms can be used to solve real-world computational problems.
- Provides pseudocode for every algorithm, allowing for a clear presentation of the successive stages of its operation.
- Combines combination of theory and practice from a concise description of the algorithm, through its modifications, to a specific application.
The book enables the reader to learn how to enhance the capabilities of these algorithms through modifications and how to apply them to practical problems.
It is a valuable source of knowledge for scientists and researchers working in artificial intelligence, optimization, nature-inspired computing, and swarm intelligence and can be useful when conducting research and exploring new variants of existing algorithms that students, engineers, and practitioners will find useful.
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Specificații
ISBN-13: 9781041366133
ISBN-10: 1041366132
Pagini: 536
Ilustrații: 144
Dimensiuni: 156 x 234 mm
Ediția:2
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041366132
Pagini: 536
Ilustrații: 144
Dimensiuni: 156 x 234 mm
Ediția:2
Editura: CRC Press
Colecția CRC Press
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Public țintă
GeneralCuprins
Chapter 1 Ant Colony Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam Slowik
Chapter 2 Artifcial Bee Colony Algorithm
Chapter 3 Artifcial Lemming Algorithm Yaning Xiao and Yueqin Yin
Chapter 4 Bacterial Foraging Optimization Sonam Parashar, Nand K. Meena, Jin Yang, and Neeraj Kanwar
Chapter 5 Bat Algorithm Xin-She Yang and Adam Slowik
Chapter 6 Cat Swarm Optimization Dorin Moldovan, Viorica Chifu, Ioan Salomie, and Adam Slowik
Chapter 7 Chicken Swarm Optimization Dorin Moldovan and Adam Slowik
Chapter 8 Cockroach Swarm Optimization Joanna Kwiecien
Chapter 9 Cray□sh Optimization Algorithm Heming Jia, Honghua Rao, and Changsheng Wen
Chapter 10 Crow Search Algorithm Adam Slowik and Dorin Moldovan
Chapter 11 Cuckoo Search Algorithm Xin-She Yang and Adam Slowik
Chapter 12 Dingo Optimization Algorithm Mohd Nadhir Ab Wahab
Chapter 13 Dung Beetle Optimizer Kaichen Ouyang, Mingyang Yu, and Shengwei Fu
Chapter 14 Dynamic Virtual Bats Algorithm Ali Osman Topal
Chapter 15 Dispersive Flies Optimisation: A Tutorial Mohammad Majid al-Rifaie
Chapter 16 Elephant Herding Optimization Nand K. Meena, Jin Yang, and Adam Slowik
Chapter 17 Firey Algorithm Xin-She Yang and Adam Slowik
Chapter 18 Glowworm Swarm Optimization - A Tutorial Krishnanand Kaipa and Debasish Ghose
Chapter 19 Grasshopper Optimization Algorithm Szymon ukasik
Chapter 20 Grey Wolf Optimizer Ahmed F. Ali and Mohamed A. Tawhid
Chapter 21 Grion Vultures Optimization Algorithm Dler O. Hasan, Hardi M. Mohammed, and Zrar Khalid Abdul
Chapter 22 Hunting Search Algorithm Ferhat Erdal and Osman Tunca
Chapter 23 Jellyfish Search Optimization: A Tutorial with Implementation
Chapter 24 Krill Herd Algorithm Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam Slowik
Chapter 25 Monarch Buttery Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam Slowik
Chapter 26 Particle Swarm Optimization Adam Slowik
Chapter 27 Puma optimizer Ahmed F. Ali
Chapter 28 Red-billed Blue Magpie Optimizer Özge Tezel and Eda Özkul
Chapter 29 Remora Optimization Algorithm Heming Jia, Qian Shi, and Yongchao Li
Chapter 30 Salp Swarm Optimization: Tutorial Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella Hassanien
Chapter 31 Social Spider Optimization Ahmed F. Ali and Mohamed A. Tawhid
Chapter 32 Sparrow Search Algorithm Jiankai Xue
Chapter 33 Stochastic Diusion Search: A Tutorial Mohammad Majid al-Rifaie and J. Mark Bishop
Chapter 34 Tuna Swarm Optimization Algorithm Eda Özkul and Özge Tezel
Chapter 35 Tunicate Swarm Algorithm Dler O. Hasan and Adam Slowik
Chapter 36 Whale Optimization Algorithm Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik
Chapter 2 Artifcial Bee Colony Algorithm
Chapter 3 Artifcial Lemming Algorithm Yaning Xiao and Yueqin Yin
Chapter 4 Bacterial Foraging Optimization Sonam Parashar, Nand K. Meena, Jin Yang, and Neeraj Kanwar
Chapter 5 Bat Algorithm Xin-She Yang and Adam Slowik
Chapter 6 Cat Swarm Optimization Dorin Moldovan, Viorica Chifu, Ioan Salomie, and Adam Slowik
Chapter 7 Chicken Swarm Optimization Dorin Moldovan and Adam Slowik
Chapter 8 Cockroach Swarm Optimization Joanna Kwiecien
Chapter 9 Cray□sh Optimization Algorithm Heming Jia, Honghua Rao, and Changsheng Wen
Chapter 10 Crow Search Algorithm Adam Slowik and Dorin Moldovan
Chapter 11 Cuckoo Search Algorithm Xin-She Yang and Adam Slowik
Chapter 12 Dingo Optimization Algorithm Mohd Nadhir Ab Wahab
Chapter 13 Dung Beetle Optimizer Kaichen Ouyang, Mingyang Yu, and Shengwei Fu
Chapter 14 Dynamic Virtual Bats Algorithm Ali Osman Topal
Chapter 15 Dispersive Flies Optimisation: A Tutorial Mohammad Majid al-Rifaie
Chapter 16 Elephant Herding Optimization Nand K. Meena, Jin Yang, and Adam Slowik
Chapter 17 Firey Algorithm Xin-She Yang and Adam Slowik
Chapter 18 Glowworm Swarm Optimization - A Tutorial Krishnanand Kaipa and Debasish Ghose
Chapter 19 Grasshopper Optimization Algorithm Szymon ukasik
Chapter 20 Grey Wolf Optimizer Ahmed F. Ali and Mohamed A. Tawhid
Chapter 21 Grion Vultures Optimization Algorithm Dler O. Hasan, Hardi M. Mohammed, and Zrar Khalid Abdul
Chapter 22 Hunting Search Algorithm Ferhat Erdal and Osman Tunca
Chapter 23 Jellyfish Search Optimization: A Tutorial with Implementation
Chapter 24 Krill Herd Algorithm Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam Slowik
Chapter 25 Monarch Buttery Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam Slowik
Chapter 26 Particle Swarm Optimization Adam Slowik
Chapter 27 Puma optimizer Ahmed F. Ali
Chapter 28 Red-billed Blue Magpie Optimizer Özge Tezel and Eda Özkul
Chapter 29 Remora Optimization Algorithm Heming Jia, Qian Shi, and Yongchao Li
Chapter 30 Salp Swarm Optimization: Tutorial Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella Hassanien
Chapter 31 Social Spider Optimization Ahmed F. Ali and Mohamed A. Tawhid
Chapter 32 Sparrow Search Algorithm Jiankai Xue
Chapter 33 Stochastic Diusion Search: A Tutorial Mohammad Majid al-Rifaie and J. Mark Bishop
Chapter 34 Tuna Swarm Optimization Algorithm Eda Özkul and Özge Tezel
Chapter 35 Tunicate Swarm Algorithm Dler O. Hasan and Adam Slowik
Chapter 36 Whale Optimization Algorithm Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik
Notă biografică
ADAM SLOWIK (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. habil. degree in computer science (intelligent systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, machine learning, neural networks, fuzzy systems, computational intelligence, bio-inspired optimization algorithms, and their engineering applications. He is a Reviewer for many international scientific journals and many international conferences. He is an author or coauthor of over 200 refereed articles in international journals, 2 books, and co-editor of conference proceedings and books, including two invited talks. Dr. Slowik was an Associate Editor of the IEEE Transactions on Industrial Electronics (2009-2011). He is an Associate Editor for the IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, and the IEEE Transactions on Industrial Informatics. Dr. Slowik was the Head of the Department of Computer Engineering, Koszalin University of Technology (2019-2021). He is a member of the program committees of several important international conferences in the area of machine learning, artificial intelligence, and evolutionary computation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). In 2022-2026, he was on the list of Top 2% Scientists Worldwide by Stanford University. Dr. Slowik has often organized special sessions in such journals as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Consumer Electronics, and Neural Computing and Applications.
Descriere
In this book, the several most recent algorithms in the area of swarm intelligence algorithms are presented. The book contains the most compact description of 36 swarm intelligence algorithms.