基于改进遗传算法的带传动多目标模糊优化设计  

Multi-object Fuzzy Optimization Design of Belt Drive Based on Improved Genetic Algorithm

作　　者：宋俐[1] 魏锋涛[1] 刘伟[1] 

机构地区：[1]西安理工大学机械与精密仪器工程学院,陕西西安710048

出　　处：《机械传动》2006年第5期28-30,共3页Journal of Mechanical Transmission

摘　　要：以带轮体积最小和传动轴受力最小为目标建立优化数学模型,利用改进遗传算法求得该优化问题的理想解和若干个有效解,并根据相似优先比理论最终确定其模糊最优解。该问题的求解过程表明,这种多目标优化问题的解决方法是一种更科学、更符合实际的设计方法,具有较好的实用价值。Multi-objective mathematical model based on the minimum volume of the wheel and force on the drive shaft for belt dirve was established. Its perfect and effective solution were searched by improved genetic algorithm and final fuzzy optimal solution was determined in terms of a theory of similarity priority ratio. The result indicates that it is scientific and practical for this method to deal with multi-objective optimization problems.

关 键 词：带传动 多目标优化 改进遗传算法 模糊 相似优先比 

分 类 号：TH132.32[机械工程—机械制造及自动化]