Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022). Amir H. Gandomi, PhD, is a leading researcher in global optimization and big data analytics, currently serving as a Professor of Data Science and an ARC DECRA Fellow at the University of Technology Sydney (UTS). With over 450 journal publications and 60,000 citations, he is among the most cited researchers worldwide. Dr. Gandomi has authored 14 books and received numerous accolades, including the IEEE TCSC Award and the Achenbach Medal. His editorial roles span several prestigious journals, and he is a sought-after keynote speaker in the fields of artificial intelligence and genetic programming. Previously, he held academic positions at the Stevens Institute of Technology and Michigan State University, where he contributed significantly to advancing knowledge in machine learning and evolutionary computation.

• 1. Swarm Intelligence and Bio-Inspired Computation: An Overview 2. Review and Analysis of Swarm-intelligence Based Algorithms3. Lévy Flights and Global Optimization4. Self-Adaptive Memetic Firefly Algorithm5. Modelling and Simulation of Labor Division in An Ant Colony: A Problem-Oriented Approach6. Particle Swarm Optimization and Their Variants: Convergence and Applications7. A Survey of Swarm Algorithms Applied to Discrete Optimization Problems8. A Comprehensive Survey of Test Functions for Global Optimization9. Binary Bat Algorithm for Feature Selection10. Intelligent Music Composition11. The Development and Applications of the Cuckoo Search Algorithm12. Bio-Inspired Models and the Semantic Web13. Discrete Firefly Algorithm for Travelling Salesman Problem: A New Movement Scheme14. Modelling to Generate Alternatives Using Biologically-Inspired Algorithms15. Structural Optimization Using Krill Herd Algorithm16. Artificial Plant Optimization Algorithm17. Genetic Algorithms for the Berth Allocation Problem in Real Time18. Opportunities and Challenges of Integrating Bio-Inspired Optimization and Data Mining Algorithms19. Improvement of PSO Algorithm by Memory Based Gradient Search: Application in Inventory Management

"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