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.
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
Biography
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).
