Paper Info
Title
Hybrid ant colony system and flower pollination algorithms for global optimization
Abstract
Nature is one of the best sources for inspiration to solve problems, and therefore, several nature inspired algorithms have been proposed. One of these algorithms is the ant colony system which is based on the behaviour of real ant colony. The ant colony system algorithm is one of the best variants of the ant colony optimization algorithm. However, the exploration mechanism in ant colony system is not efficient, specifically when the problem instance increases. A hybrid algorithm between ant colony system and flower pollination algorithm for optimization problems is proposed. Two approaches which are based on the level of hybridization, namely low level hybridization and high level hybridization, are used in developing the hybrid algorithms. The approaches are based on the generic structures of different hybridization levels.
Year
DOI
Venue
2015
10.1109/CITA.2015.7349816
2015 9th International Conference on IT in Asia (CITA)
Keywords
Field
DocType
ant colony system,flower pollination algorithm,hybrid algorithm,global optimization
Ant colony optimization algorithms,Mathematical optimization,Global optimization,Parallel metaheuristic,Computer science,Pollination,Ant colony,Metaheuristic
Conference
Citations 
PageRank 
References 
2
0.35
14
Authors
1
Name
Order
Citations
PageRank
Ku Ruhana Ku Mahamud1229.33