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Swarm Intelligence Algorithms: A Tutorial de Adam Slowik

Swarm Intelligence Algorithms: A Tutorial

Editat de Adam Slowik
en Limba Engleză Hardback – 19 ian 2027
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. Each chapter is written by the world-recognized researchers which possess a high experience in the area of given swarm intelligence algorithm or even they are an author of a given swarm intelligence algorithm. The chapter authors in their scientific activity are working with given algorithm, thus they can guarantee a high scientific quality for each chapter. In each chapter, the main focus is on recent modifications of the presented algorithm, and with his applications to solving real-world problems.
  • Learn modern swarm intelligence optimization algorithms
  • Learn different modifications of swarm intelligence algorithms
  • Learn how to apply swarm intelligence algorithms to real-world problems
  • Show different case studies on real-world application of swarm intelligence algorithms
  • Learn how the selected algorithm works
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Specificații

ISBN-13: 9781041365976
ISBN-10: 1041365977
Pagini: 528
Ilustrații: 66
Dimensiuni: 156 x 234 mm
Ediția:2
Editura: CRC Press
Colecția CRC Press

Public țintă

General

Cuprins

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 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

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.