A Meta-heuristic with Ant Colony Approach to Complex System

doi:10.4028/www.scientific.net/AMM.26-28.1147

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	A Meta-heuristic with Ant Colony Approach to Complex System
	Liu, Zongli; Cao, Jie; Yuan, Zhanting
	2010
关键词	multi-objective optimization ant colony optimization meta-heuristics
卷号	26-28
DOI	10.4028/www.scientific.net/AMM.26-28.1147
页码	1147-1150
英文摘要	This paper proposes a new approach to determining the complex system design for a product mix comprising complex hierarchies of subassembly and components. Pareto Ant Colony Optimisation as an especially effective meta-heuristic for solving the problem of complex system design was introduced in this paper. A Pareto Optimal Set of complex system in which only the non dominated solutions allow ants to deposit pheromones over the time and cost pheromone matrices after certain generation runs. Simulation results show that the model for complex system and the hybrid algorithms are effective to the design of complex system.
会议录	ADVANCED MECHANICAL ENGINEERING, PTS 1 AND 2
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Engineering
WOS记录号	WOS:000303181700231
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37648]
专题	兰州理工大学
通讯作者	Liu, Zongli
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Liu, Zongli,Cao, Jie,Yuan, Zhanting. A Meta-heuristic with Ant Colony Approach to Complex System[C]. 见:.