Swarm Intelligence Algorithms (Two Volume Set)

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 Articial 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 Šukasik

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 Buttery 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 Diusion 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, Modications, and Application
Pushpendra Singh, Nand K. Meena, and Jin Yang

2 Articial Bee Colony - Modications and An Application to Software Requirements Selection
Bahriye Akay

3 Modied Bacterial Forging Optimization and Application
Neeraj Kanwar, Nand K. Meena, Jin Yang, and Sonam Parashar

4 Bat Algorithm - Modications and Application
Neeraj Kanwar, Nand K. Meena, and Jin Yang

5 Cat Swarm Optimization - Modications and Application
Dorin Moldovan, Adam Slowik, Viorica Chifu, and Ioan Salomie
 
6 Chicken Swarm Optimization - Modications and Application
Dorin Moldovan and Adam Slowik
 
7 Cockroach Swarm Optimization Modications and Application
Joanna Kwiecien
 
8 Crow Search Algorithm - Modications and Application
Adam Slowik and Dorin Moldovan

9 Cuckoo Search Optimisation Modications 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: Modications 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 - Modications and Applications
Krishnanand Kaipa and Debasish Ghose
 
15 Grasshopper Optimization Algorithm - Modications and Applications
Szymon Šukasik

16 Grey wolf optimizer Modications and Applications
Ahmed F. Ali and Mohamed A. Tawhid

17 Hunting Search Optimization Modication and Application
Ferhat Erdal, Osman Tunca, and Erkan Dogan

18 Krill Herd Algorithm Modications and Applications
Ali R. Kashani, Charles V. Camp, Hamed Tohidi, and Adam Slowik

19 Modied Monarch Buttery Optimization and Real-life Applications
Pushpendra Singh, Nand K. Meena, and Jin Yang

20 Particle Swarm Optimization Modications and Application
Adam Slowik

21 Salp Swarm Algorithm: Modication and Application
Essam H. Houssein, Ibrahim E. Mohamed , and Aboul Ella Hassanien

22 Social Spider Optimization Modications and Applications
Ahmed F. Ali and Mohamed A. Tawhid

23 Stochastic Diusion Search: Modications and Application
Mohammad Majid al-Rifaie and J. Mark Bishop
 

24 Whale Optimization Algorithm Modications and Applications
Ali R. Kashani, Charles V. Camp, Moein Armanfar, and Adam Slowik