Swarm Intelligence and Bio-Inspired Computation

Swarm Intelligence and Bio-Inspired Computation , 1st Edition

Theory and Applications

Swarm Intelligence and Bio-Inspired Computation , 1st Edition,Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu,ISBN9780124051638

Yang   &   Cui   &   Xiao   &   Gandomi   &   Karamanoglu   





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This book provides a thought review of the fundamentals and applications of algorithms based on swarm intelligence and other biological systems.

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Key Features

  • Focuses on the introduction and analysis of key algorithms
  • Includes case studies for real-world applications
  • Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.


Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers.


Advanced students and researchers in computer science, engineering and applied mathematics.

Xin-She Yang

Xin She Yang is Senior Research Scientist in the Department of Mathematical and Scientific Computing at the National Physical Laboratory in the United Kingdom, Reader in Modeling and Optimization at Middlesex University, UK, and Adjunct Professor at Reykjavik University, Iceland. He is Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimization, a member of both the Society for Industrial and Applied Mathematics and the British Computer Society, a Fellow of The Royal Institution of Great Britain, and editor of seven additional books including Nature-Inspired Optimization Algorithms (Elsevier), Swarm Intelligence and Bio-Inspired Computation (Elsevier).

Affiliations and Expertise

School of Science and Technology, Middlesex University, UK

View additional works by Xin-She Yang

Zhihua Cui

Affiliations and Expertise

Taiyuan University of Science and Technology, Shanxi, China

Renbin Xiao

Affiliations and Expertise

Huazhong University of Science and Technology, Wuhan, China

Amir Hossein Gandomi

Affiliations and Expertise

The University of Akron,USA

View additional works by Amir Hossein Gandomi

Mehmet Karamanoglu

Affiliations and Expertise

Middlesex University, London, UK

Swarm Intelligence and Bio-Inspired Computation , 1st Edition

Part One: Theoretical Aspects of Swarm Intelligence and Bio-Inspired Computing

1. Swarm Intelligence and Bio-Inspired Computation: An Overview (Xin-She Yang and Mehmet Karamanoglu)

2. Review and Analysis of Swarm-intelligence Based Algorithms (M. P. Saka and E. Dogan and I. Aydogdu)

3. Lévy Flights and Global Optimization (Momin Jamil and Hans-Jurgen Zepernik)

4. Self-Adaptive Memetic Firefly Algorithm (Iztok Fister, Xin-She Yang, Janez Brest and Iztok Jr. Fister)

5. Modelling and Simulation of Labor Division in An Ant Colony: A Problem-Oriented Approach (Renbin Xiao )

6. Particle Swarm Optimization and Their Variants: Convergence and Applications (Shichang Sun and Hongbo Liu)

7. A Survey of Swarm Algorithms Applied to Discrete Optimization Problems (Rafael Parpinelli, Heitor Silverio Lopes, Jonas Krause and Jelson Cordeiro)

8. A Comprehensive Survey of Test Functions for Global Optimization (Momin Jamil, Xin-She Yang and Hans-Jurgen Zepernik)

Part Two: Applications and Case Studies

9. Binary Bat Algorithm for Feature Selection (Rodrigo Nakamura, Luis Pereira, Kelton Costa, João Paulo Papa, and Xin-She Yang)

10. Intelligent Music Composition (Maximos Kaliakatsos-Papakostas , Andreas Floros and Michael N. Vrahatis)

11. The Development and Applications of the Cuckoo Search Algorithm (Sean Walton, Oubay Hassan, Kenneth Morgan, and Rowan Brown)

12. Bio-Inspired Models and the Semantic Web (Priti Sajja and Rajendra Akerkar)

13. Discrete Firefly Algorithm for Travelling Salesman Problem: A New Movement Scheme (Gilang Kusuma Jati, Ruli Manurung and Suyanto Suyanto)

14. Modelling to Generate Alternatives Using Biologically-Inspired Algorithms (Raha Imanirad and Julian Scott Yeomans)

15. Structural Optimization Using Krill Herd Algorithm (Amir Hossein Gandomi and Amir H. Alavi)

16. Artificial Plant Optimization Algorithm (Zhihua Cui and Xingjuan Cai)

17. Genetic Algorithms for the Berth Allocation Problem in Real Time (Carlos Arango, Pablo Cortes, A. Escudero and Luis Onieva)

18. Opportunities and Challenges of Integrating Bio-Inspired Optimization and Data Mining Algorithms (Simon Fong)

19. Improvement of PSO Algorithm by Memory Based Gradient Search: Application in Inventory Management (Tamás Varga, András Király and Janos Abonyi)

Quotes and reviews

"Civil and other engineers, mathematicians, computer scientists, and other contributors summarize the current status of biologically inspired computation and swarm intelligence, looking at both fundamentals and applications of algorithms based on swarm intelligence and other biological systems."--Reference and Research Book News, August 2013

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