Using Artificial Physics to Solve Global Optimization Problems

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	Using Artificial Physics to Solve Global Optimization Problems
	Xie, Liping 2; Zeng, Jianchao 1; Cui, Zhihua 1
	2009
关键词	global optimization Newton's Second law Physicomimetics virtual force
页码	502-+
英文摘要	Heuristics are quite an effective kind of methods to solve global optimization problems, which utilizes sample solution(s) searching the feasible regions of the problems in intelligent ways. Inspired by physical rule, this paper proposes a stochastic global optimization algorithm based on Physicomimetics framework. In the algorithm, a population of sample individuals search a global optimum in the problem space driven by virtual forces, which simulate the process of the system continually evolving from initial higher potential energy to lower one until a minimum is reached. Each individual has a mass, position and velocity. The mass of each individual corresponds to a user-defined function of the value of an objective function to be optimized. An attraction-repulsion rule is constructed and used to move individuals towards the optimality. Experimental simulations show that the algorithm is effective.
会议录	PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS
会议录出版者	IEEE COMPUTER SOC
会议录出版地	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种	英语
资助项目	Doctoral Scientific Research Starting Foundation of Taiyuan University of Science and Technology[20082010]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000275652500074
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37865]
专题	兰州理工大学电气工程与信息工程学院
通讯作者	Xie, Liping
作者单位	1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, shanxi, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Xie, Liping,Zeng, Jianchao,Cui, Zhihua. Using Artificial Physics to Solve Global Optimization Problems[C]. 见:.