Swarm Intelligence Algorithms (Two Volume Set)

NOTE EDITORE

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

SOMMARIO

Volume 1: 1 Ant Colony Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam Slowik 2 Artificial Bee Colony Algorithm Bahriye Akay and Dervis Karaboga 3 Bacterial Foraging Optimization Sonam Parashar, Nand K. Meena, Jin Yang, and Neeraj Kanwar 4 Bat Algorithm Xin-She Yang and Adam Slowik 5 Cat Swarm Optimization Dorin Moldovan, Viorica Chifu, Ioan Salomie, and Adam Slowik 6 Chicken Swarm Optimization Dorin Moldovan and Adam Slowik 7 Cockroach Swarm Optimization Joanna Kwiecien 8 Crow Search Algorithm Adam Slowik and Dorin Moldovan 9 Cuckoo Search Algorithm Xin-She Yang and Adam Slowik 10 Dynamic Virtual Bats Algorithm Ali Osman Topal 11 Dispersive Flies Optimisation: A Tutorial Mohammad Majid al-Rifaie 12 Elephant Herding Optimization Nand K. Meena, Jin Yang, and Adam Slowik 13 Firey Algorithm Xin-She Yang and Adam Slowik 14 Glowworm Swarm Optimization - A Tutorial Krishnanand Kaipa and Debasish Ghose 15 Grasshopper Optimization Algorithm Szymon Lukasik 16 Grey Wolf Optimizer Ahmed F. Ali and Mohamed A. Tawhid 17 Hunting Search Algorithm Ferhat Erdal and Osman Tunca 18 Krill Herd Algorithm Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam Slowik 19 Monarch Butterfly Optimization Pushpendra Singh, Nand K. Meena, Jin Yang, and Adam Slowik 20 Particle Swarm Optimization Adam Slowik 21 Salp Swarm Optimization: Tutorial Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella Hassanien 22 Social Spider Optimization Ahmed F. Ali and Mohamed A. Tawhid 23 Stochastic Diffusion Search: A Tutorial Mohammad Majid al-Rifaie and J. Mark Bishop 24 Whale Optimization Algorithm Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik Volume 2: 1 Ant Colony Optimization, Modifications, and Application Pushpendra Singh, Nand K. Meena, and Jin Yang 2 Artificial Bee Colony - Modifications and An Application to Software Requirements Selection Bahriye Akay 3 Modified Bacterial Forging Optimization and Application Neeraj Kanwar, Nand K. Meena, Jin Yang, and Sonam Parashar 4 Bat Algorithm - Modifications and Application Neeraj Kanwar, Nand K. Meena, and Jin Yang 5 Cat Swarm Optimization - Modifications and Application Dorin Moldovan, Adam Slowik, Viorica Chifu, and Ioan Salomie 6 Chicken Swarm Optimization - Modifications and Application Dorin Moldovan and Adam Slowik 7 Cockroach Swarm Optimization -- Modifications and Application Joanna Kwiecien 8 Crow Search Algorithm - Modifications and Application Adam Slowik and Dorin Moldovan 9 Cuckoo Search Optimisation -- Modifications and Application Dhanraj Chitara, Nand K. Meena, and Jin Yang 10 Improved Dynamic Virtual Bats Algorithm for Identifying a Suspension System Parameters Ali Osman Topal 11 Dispersive Flies Optimisation: Modifications and Application Mohammad Majid al-Rifaie, Hooman Oroojeni M. J., and Mihalis Nicolaou 12 Improved Elephant Herding Optimization and Application Nand K. Meena and Jin Yang 13 Firey Algorithm: Variants and Applications Xin-She Yang 14 Glowworm Swarm Optimization - Modifications and Applications Krishnanand Kaipa and Debasish Ghose 15 Grasshopper Optimization Algorithm - Modifications and Applications Szymon Lukasik 16 Grey wolf optimizer _ Modifications and Applications Ahmed F. Ali and Mohamed A. Tawhid 17 Hunting Search Optimization Modification and Application Ferhat Erdal, Osman Tunca, and Erkan Dogan 18 Krill Herd Algorithm -- Modifications and Applications Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam Slowik 19 Modified Monarch Butterfly Optimization and Real-life Applications Pushpendra Singh, Nand K. Meena, and Jin Yang 20 Particle Swarm Optimization Modifications and Application Adam Slowik 21 Salp Swarm Algorithm: Modifications and Application Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella Hassanien 22 Social Spider Optimization -- Modifications and Applications Ahmed F. Ali and Mohamed A. Tawhid 23 Stochastic Diffusion Search: Modifications and Application Mohammad Majid al-Rifaie and J. Mark Bishop 24 Whale Optimization Algorithm _ Modifications and Applications Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik

AUTORE

Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) is an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence, and, particularly, bio-inspired optimization algorithms and their engineering applications. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008).

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780367499488
• Dimensioni: 9.25 x 6.25 in Ø 1.00 lb
• Formato: Brossura
• Illustration Notes: 82 b/w images and 89 tables
• Pagine Arabe: 768