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    Swarm Intelligence Algorithms

    Modifications and Applications

    AvAdam Slowik

    Häftad, Engelska, 2027

    791 kr

    Kommande

    Beskrivning

    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 algorithmsLearn different modifications of swarm intelligence algorithmsLearn how to apply swarm intelligence algorithms to real-world problemsShow different case studies on real-world application of swarm intelligence algorithmsLearn how the selected algorithm works

    Produktinformation

    • Utgivningsdatum:2027-02-01
    • Mått:156 x 234 x undefined mm
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:536
    • Upplaga:2
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781041366140

    Utforska kategorier

    • Energiteknik inom Naturvetenskap och teknik
    • Informationsteknik: allmänt inom Data och IT
    • Programmeringsböcker inom Data och IT

    Mer om författaren

    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.

    Innehållsförteckning

    • Chapter 1 Ant Colony Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam SlowikChapter 2 Artifcial Bee Colony AlgorithmChapter 3 Artifcial Lemming Algorithm Yaning Xiao and Yueqin YinChapter 4 Bacterial Foraging Optimization Sonam Parashar, Nand K. Meena, Jin Yang, and Neeraj KanwarChapter 5 Bat Algorithm Xin-She Yang and Adam SlowikChapter 6 Cat Swarm Optimization Dorin Moldovan, Viorica Chifu, Ioan Salomie, and Adam SlowikChapter 7 Chicken Swarm Optimization Dorin Moldovan and Adam SlowikChapter 8 Cockroach Swarm Optimization Joanna KwiecienChapter 9 Cray□sh Optimization Algorithm Heming Jia, Honghua Rao, and Changsheng WenChapter 10 Crow Search Algorithm Adam Slowik and Dorin MoldovanChapter 11 Cuckoo Search Algorithm Xin-She Yang and Adam SlowikChapter 12 Dingo Optimization Algorithm Mohd Nadhir Ab WahabChapter 13 Dung Beetle Optimizer Kaichen Ouyang, Mingyang Yu, and Shengwei FuChapter 14 Dynamic Virtual Bats Algorithm Ali Osman TopalChapter 15 Dispersive Flies Optimisation: A Tutorial Mohammad Majid al-RifaieChapter 16 Elephant Herding Optimization Nand K. Meena, Jin Yang, and Adam SlowikChapter 17 Firey Algorithm Xin-She Yang and Adam SlowikChapter 18 Glowworm Swarm Optimization - A Tutorial Krishnanand Kaipa and Debasish GhoseChapter 19 Grasshopper Optimization Algorithm Szymon ukasikChapter 20 Grey Wolf Optimizer Ahmed F. Ali and Mohamed A. TawhidChapter 21 Grion Vultures Optimization Algorithm Dler O. Hasan, Hardi M. Mohammed, and Zrar Khalid AbdulChapter 22 Hunting Search Algorithm Ferhat Erdal and Osman TuncaChapter 23 Jellyfish Search Optimization: A Tutorial with ImplementationChapter 24 Krill Herd Algorithm Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam SlowikChapter 25 Monarch Buttery Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam SlowikChapter 26 Particle Swarm Optimization Adam SlowikChapter 27 Puma optimizer Ahmed F. AliChapter 28 Red-billed Blue Magpie Optimizer Özge Tezel and Eda ÖzkulChapter 29 Remora Optimization Algorithm Heming Jia, Qian Shi, and Yongchao LiChapter 30 Salp Swarm Optimization: Tutorial Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella HassanienChapter 31 Social Spider Optimization Ahmed F. Ali and Mohamed A. TawhidChapter 32 Sparrow Search Algorithm Jiankai XueChapter 33 Stochastic Diusion Search: A Tutorial Mohammad Majid al-Rifaie and J. Mark BishopChapter 34 Tuna Swarm Optimization Algorithm Eda Özkul and Özge TezelChapter 35 Tunicate Swarm Algorithm Dler O. Hasan and Adam SlowikChapter 36 Whale Optimization Algorithm Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik
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