Swarm Intelligence Algorithms: A Tutorial
Editat de Adam Slowiken Limba Engleză Hardback – 20 ian 2027
Swarm Intelligence Algorithms: A Tutorial (Second Edition) is a practical guide to the world of swarm intelligence algorithms that helps readers learn the algorithms but also enables them to implement them independently and apply them to computational problems. The chapters provide detailed explanations of how each algorithm works, present its pseudocode, and include implementations in Matlab and C++. In addition, each algorithm is illustrated with a simple numerical example that demonstrates the successive stages of the calculations step by step. Each chapter has been prepared by world-renowned specialists in the field, combining an accessible introduction to the subject with the knowledge and research expertise of leading experts.
Key Features:
- Includes 36 swarm intelligence algorithms offering a comprehensive overview of the most important methods in this field.
- Offers accessible explanations of how the algorithms work presenteding them in a way that makes its underlying mechanism easy to understand.
- Includes step-by-step numerical examples allowing readers to follow the operation of each algorithm and perform the successive calculations themselves.
- Provides pseudocode for every algorithm, helping readers understand its structure and facilitating subsequent implementation.
- Ready-to-use implementations in MATLAB and C++ helps readers move from concepts to practical applications.
The book will be particularly useful for undergraduate, master's, and doctoral students learning about nature-inspired optimization algorithms and artificial intelligence methods. It can serve both as a textbook for learning the fundamentals and as a practical guide for independently implementing algorithms. Engineers and practitioners looking for effective methods for solving challenging optimization problems will also find the book useful.
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Specificații
ISBN-10: 1041365977
Pagini: 528
Ilustrații: 66
Dimensiuni: 156 x 234 mm
Ediția:2
Editura: CRC Press
Colecția CRC Press
Public țintă
GeneralCuprins
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 Šukasik
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