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《Control and Decision》 2002-S1
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Ant algorithm based function optimization

MA Liang (College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China)  
Based on the swarm intelligence of ants, a new stochastic searching algorithm for the general (constrained or unconstrained) function optimization is presented. The proposed algorithm requires no prerequisites of differentiation or even continuation of objective function, and can effectively overcome thecommonlyseendisadvantageofgettinginto local optimum by classical algorithm. Numerical experiments show the good performance of the algorithm.
【Fund】: 上海市曙光计划基金项目 (2 0 0 0 SG30 )
【CateGory Index】: O224
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