1st Edition

Swarm Intelligence Algorithms (Two Volume Set)

Edited By Adam Slowik
768 Pages 82 B/W Illustrations
by CRC Press

768 Pages 82 B/W Illustrations
by CRC Press

768 Pages 82 B/W Illustrations
by CRC Press

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... Read more

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).