基于蚁群算法的气门弹簧多目标优化  

Multi-objective Optimization of Valve Spring Based on Ant Colony Algorithm

作　　者：刘世峰 陈志华 贾艳梅[2] 

机构地区：[1]中国核电工程有限公司河北分公司,河北石家庄050019 [2]石家庄信息工程职业学院,河北石家庄050019

出　　处：《机械制造与自动化》2017年第2期72-74,共3页Machine Building & Automation

摘　　要：介绍了蚁群算法的基本原理、模型和实现方法,并以常见的气门弹簧作为优化设计目标,建立多目标函数的数学模型,利用MATLAB编程进行求解。通过将计算结果与用遗传算法优化、常规优化算法优化获得的结果进行对比可知,蚁群算法具有很好的寻优能力,同时也表明蚁群算法在优化设计领域的可行性和实用性。This paper introduces the basic theory, model and implementation of ant colony algorithm, builds the multi-object optimi- zation mathematical model to optimize the design of the valve spring commonly used, uses MATLAB programming to calculate the result, and then compares it with the results calculated by traditional algorithm and common algorithm. This method show that it is of perfect optimization ability feasibility and practical applicability in the optimal design.

关 键 词：蚁群算法 气门弹簧 多目标优化 MATLAB 

分 类 号：TH135[机械工程—机械制造及自动化] TP391.9[自动化与计算机技术—计算机应用技术]