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用于模具编程的病毒进化遗传算法
引用本文:原思聪,邹存范,严卫东,江祥奎.用于模具编程的病毒进化遗传算法[J].计算机工程,2012,38(8):252-255.
作者姓名:原思聪  邹存范  严卫东  江祥奎
作者单位:1. 西安建筑科技大学机电工程学院,西安,710055
2. 西安邮电学院自动化学院,西安,710121
基金项目:国家“十二五”科技支撑计划基金资助重点项目(2011BAJ02B02-02);陕西省自然科学基金资助项目(2007E218);陕西省科技攻关计划基金资助项目(2011K10-18);陕西省教育厅自然科学专项基金资助项目(09JK559)
摘    要:针对模具编程的任务规划问题,提出一种编程任务规划算法。以工期、质量和编程人员负载均衡等为目标,建立多目标优化模型,结合病毒进化遗传算法的横向搜索能力和非支配排序遗传算法Ⅱ(NSGA-Ⅱ)的精英保留策略,求取多样性解,引入多种群思想解决多目标问题。仿真结果表明,该算法求得的近似解分布均匀且多样性较好,与NSGA-Ⅱ相比,其解的分布离最优解的前端更加接近。

关 键 词:编程任务规划  多目标优化  病毒进化遗传算法  负载均衡  暴露程度
收稿时间:2011-09-27

Virus Evolution Genetic Algorithm for Mould Programming
YUAN Si-cong , ZOU Cun-fan , YAN Wei-dong , JIANG Xiang-kui.Virus Evolution Genetic Algorithm for Mould Programming[J].Computer Engineering,2012,38(8):252-255.
Authors:YUAN Si-cong  ZOU Cun-fan  YAN Wei-dong  JIANG Xiang-kui
Affiliation:1.School of Mechanical and Electrical Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;2.School of Automation,Xi’an University of Posts and Telecommunications,Xi’an 710121,China)
Abstract:In the paper,a programming task planning for the problem of mould programming task planning is presented,a multi-objective optimization model for duration,quality and programmer load balancing is built.Horizontal search ability of virus evolution genetic algorithm and elite reservation strategy of Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ) are adopted for better solutions with diversity.Multi-group strategy is introduced for solving multi-objective problem.Simulation result shows that approximate solution of the algorithm has good distribution and diversity is better,and compared with the NSGA-Ⅱ,the solution distribution for the algorithm is more close to the front of the optimal solution.
Keywords:programming task planning  multi-objective optimization  virus evolutionary genetic algorithm  load balancing  degree of exposure
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