Abstract
Each of six members of hydrosystem laboratory in Korea University (KU) invented either a new metaheuristic optimization algorithm or an improved version of some optimization methods as a class project for the fall semester 2014. The objective of the project was to help students understand the characteristics of metaheuristic optimization algorithms and invent an algorithm themselves focusing those regarding convergence, diversification, and intensification. Six newly developed/improved metaheuristic algorithms are Cancer Treatment Algorithm (CTA), Extraordinary Particle Swarm Optimization (EPSO), Improved Cluster HS (ICHS), Multi-Layered HS (MLHS), Sheep Shepherding Algorithm (SSA), and Vision Correction Algorithm (VCA). This paper describes the details of the six developed/improved algorithms. In a follow-up companion paper, the six algorithms are demonstrated and compared through well-known benchmark functions and a real-life engineering problem.
Original language | English |
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Title of host publication | Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
Editors | Zong Woo Geem, Joong Hoon Kim |
Publisher | Springer Verlag |
Pages | 197-205 |
Number of pages | 9 |
ISBN (Print) | 9783662479254 |
DOIs | |
Publication status | Published - 2016 |
Event | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 382 |
ISSN (Print) | 2194-5357 |
Other
Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 15/8/19 → 15/8/21 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2016.
Keywords
- Cancer treatment algorithm
- Extraordinary particle swarm optimization
- Improved cluster HS
- Multi-layered HS
- Sheep shepherding algorithm
- Vision correction algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science