Heuristic Optimization Methods
by Chin-Shiuh Shieh
URL for online lecture: https://meet.google.com/tmy-wkpz-rjg
Objective
- The study of fundamentals and applications of heuristic optimization methods, including genetic algorithm, particle swarm optimization, ant colony system, ...
Readings
- S.-C. Chu, C.-S. Shieh, and J. F. Roddick, "A tutorial on meta-heuristics for optimization," in J.-S. Pan, H.-C. Huang, and L. C. Jain (Eds.), Intelligent Watermarking Techniques, World Scientific Publishing Company, Singapore, Chapter 4, pp. 97-132, 2004.
- Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014. (eBook available in our library)
- Kwang Y. Lee and Mohamed A. El-Sharkawi, Eds., Modern Heuristic Optimization Techniques, John Wiley & Sons, 2008. (available in our library - 旗津分館)
- Johann Dr’eo, Alain P’etrowski, Patrick Siarry, and Eric Taillard, Metaheuristics for Hard Optimization - Methods and Case Studies, Springer, 2006. (available in our library - 建工分館)
- Ke-Lin Du and M.N.S. Swamy, Search and Optimization by Metaheuristics - Techniques and Algorithms Inspired by Nature, Springer, 2016. (eBook available in our library)
- Omid Bozorg-Haddad, Ed., Advanced Optimization by Nature - Inspired Algorithms, Springer, 2018
Outline
Grading
Prerequisites
- Experience in computer programming
- Intention and attendance