基于差分进化的粒子群算法的鼓式制动器多目标优化设计  

Multi-objective optimization design of drum brake based on differential evolution of particle swarm optimization

作　　者：韩永印[1,2] 

机构地区：[1]武汉大学计算机学院,武汉430072 [2]徐州工业职业技术学院,江苏徐州221140

出　　处：《计算机应用研究》2015年第6期1663-1666,1675,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(51275274)

摘　　要：为了提高鼓式制动器的设计水平,建立了一种以制动鼓体积最小和制动器温升最低为目标的鼓式制动器多目标优化模型,并使用一种基于差分进化的粒子群算法进行优化设计。为了进一步增加算法多样性,该算法将差分进化策略引入到多目标粒子群算法中;为了避免粒子飞行速度过快,陷入局部最优解,加入一种速度控制策略。通过无约束的ZDT系列和三个有约束的基准测试函数进行测试,并与其他四种算法进行对比实验,证明该算法在收敛性和多样性方面都占优,在工程实例的求解结果表明了算法的工程可行性。In order to improve the quality of drum brakes, this paper established a brake drum muhi-objective optimization model aiming at minimizing the size of the brake drum and brake temperature rise and proposed a PSO based evolutionary opti- mization for optimization design. To enhance the diversity of the algorithm, the new method introduced differential evolution strategy into PSO. In order to avoid flying too fast into local optimal solution, it added a speed control strategy. The results indi- cate that the improved algorithm outperforms the four compared algorithms concerning the convergence and diversity in solving multi-objective optimization problems with unconstraint of ZDT family and three constraints. The results of engineering example show the feasibility of the proposed algorithm.

关 键 词：鼓式制动器模型 多目标优化 差分进化 速度控制策略 粒子群优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]