刘 伟,王太勇.基于Pareto遗传算法的切削用量优化[J].农业机械学报,2011,42(2):220-224,234.
Liu Wei,Wang Taiyong.Optimization of Cutting Parameters Based on Pareto Genetic Algorithm[J].Transactions of the Chinese Society for Agricultural Machinery,2011,42(2):220-224,234.
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基于Pareto遗传算法的切削用量优化   [下载全文]
Optimization of Cutting Parameters Based on Pareto Genetic Algorithm   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  计算机辅助工艺规划,切削用量,多目标优化,Pareto遗传算法,小生境技术
基金项目:国家高技术研究发展计划(863计划)资助项目(2007AA042005)、国家自然科学基金资助项目(50975193)和高等学校博士点专项科研基金资助项目(20060056016)
作者单位
刘 伟 天津大学 
王太勇 天津大学 
中文摘要:针对计算机辅助工艺规划中的切削用量决策问题,提出了一种基于Pareto遗传算法的切削用量优化算法。首先,以切削速度和进给量为优化变量,以切削效率和刀具耐用度为优化目标,通过对约束条件的分析,建立多目标优化模型。其次,改进选择算子,设置非劣解集以保存进化过程中用竞争法构造产生的Pareto最优解,从而保证算法的搜索方向;建立基于小生境技术的排挤机制以提高种群的多样性。然后,采用混合交叉算子和步长变异算子进行基因重组,经过若干次迭代,得到一个均匀分布于Pareto前沿的优化解集。最后,通过实例验证了该算法的可行性和有效性。
Liu Wei  Wang Taiyong
Tianjin University;Tianjin University
Key Words:Computer aided process planning, Cutting parameters, Optimization of multi objective, Pareto genetic algorithm, Niche technology
Abstract:Based on the Pareto genetic algorithm, an algorithm was proposed for the cutting parameters selection and optimization to solve the decision making problems of the cutting parameters in a computer aided process planning (CAPP) system. First, a multi-objective model was built by analysis of restraint with cutting speed and feed as optimization variables and cutting efficiency and the tool life as optimization objectives. Second, the selection operator was improved. In order to ensure the search direction, a non-inferior set was set up to save Pareto optimal solutions which were generated by competition during evolutionary processes. The crowing mechanism based on niche technology was established to keep population diversity. And then, genes were recombined by means of mixed crossover operator and step-size mutation operator and an optimal set which distributed uniformly along the Pareto front was obtained after a few times iteration. Experiments results showed that this algorithm was feasible and effective.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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