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非线性约束优化的算法分析
引用本文:郭庆军,李慧民,赛云秀.非线性约束优化的算法分析[J].计算机工程与应用,2009,45(19):198-200.
作者姓名:郭庆军  李慧民  赛云秀
作者单位:1. 西安建筑科技大学,土木工程学院,西安,710055;西安工业大学,建筑工程系,西安,710032
2. 西安建筑科技大学,土木工程学院,西安,710055
基金项目:国家科技攻关计划支撑项目,陕西省科技厅软科学基金资助项目(the Soft Scientific Research Project of Shaanxi Province Scientific and Technical Department under Gra 
摘    要:针对非线性约束优化问题,运用了一种新的智能优化算法——社会认知优化算法。社会认知优化算法是一种基于社会认知理论的集群智能优化算法,它对目标函数的解析性质没有要求,适合于大规模约束问题处理的优点,使搜索不容易陷入局部最优。将该算法引入非线性约束问题,解决优化问题。通过实例和其他算法进行比较,对比数值实验结果表明,即使只有一个学习主体,该算法能够高效、稳定地得到解决方案,便于求解非线性约束优化问题。

关 键 词:社会认知算法  非线性约束优化  智能优化算法  社会认知理论
收稿时间:2008-9-26
修稿时间:2008-11-17  

Approach to solve nonlinear constrained optimization problems
GUO Qing-jun,LI Hui-yun,SAI Yun-xiu.Approach to solve nonlinear constrained optimization problems[J].Computer Engineering and Applications,2009,45(19):198-200.
Authors:GUO Qing-jun  LI Hui-yun  SAI Yun-xiu
Affiliation:1.School of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China 2.Department of Civil Engineering,Xi’an Technological University,Xi’an 710032,China
Abstract:This paper presents a new evolutionary algorithm for solving nonlinear constrained optimization problems based on Social Cognitive Optimization(SCO).The SCO is a simple behavioral model based on human social cognition,it shows that it can get high quality solutions efficiently,even only one learning agent,which may be conveniently employed to execute random and global search.The SCO method is employed to conduct nonlinear constrained optimization problems.The experiments by comparing SCO with other algorith...
Keywords:Social Cognitive Optimization(SCO)  nonlinear constrained optimization  intelligent optimization algorithm  social cognitive theory
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