DocumentCode :
3474145
Title :
Algorithm of Fast Marriage in Honey Bees Optimization and Convergence Analysis
Author :
Yang, Chenguang ; Chen, Jie ; Tu, Xuyan
Author_Institution :
Beijing Inst. of Technol., Beijing
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
1794
Lastpage :
1799
Abstract :
Marriage in Honey Bees Optimization (MBO) is a new optimization technique to simulate the social system. But the calculation process is complex and the speed is slow. The paper proposed a faster Marriage in Honey Bees Optimization (FMBO) algorithm with global convergence. By randomly initializing drones and restricting the condition of iteration, the computation process becomes easier and faster. The global convergence characteristic of FMBO is also proved by using the Markov Chain theory. Simulation is carried out with evaluation functions and comparing results are given among FMBO, MBO and Genetic Algorithm.
Keywords :
Markov processes; convergence; iterative methods; optimisation; FMBO algorithm; Markov chain theory; fast marriage in honey bees optimization; global convergence analysis; random drone initialization; Algorithm design and analysis; Analytical models; Ant colony optimization; Automation; Computational modeling; Convergence; Genetic algorithms; Insects; Logistics; Particle swarm optimization; Fast Marriage in Honey Bees Optimization (FMBO); Markov Chain; Marriage in Honey Bees Optimization (MBO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338865
Filename :
4338865
Link To Document :
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