Title :
Bee colony foraging algorithm for integer programming
Author :
Liu, Yong ; Ma, Liang
Author_Institution :
Sch. of Manage., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
In order to solve integer programming, a bee colony foraging algorithm is proposed, which is based on the law of foraging bees. The principle of optimization algorithm is discussed and the implementation of the method is presented. The performance of bee colony foraging algorithm is compared with particle swarm optimization and chaotic ant swarm. The experimental results show bee colony foraging algorithm can handle integer programming efficiently and performs much better than other algorithms.
Keywords :
chaos; integer programming; particle swarm optimisation; bee colony foraging algorithm; chaotic ant swarm; foraging bees; integer programming; optimization algorithm; particle swarm optimization; Algorithm design and analysis; Classification algorithms; Heuristic algorithms; Linear programming; Mathematical model; Optimization; Particle swarm optimization; bee colony foraging algorithm; integer programming; optimization;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5914458
