计算机工程2012，Vol.38Issue(8)：252-255,259,5.DOI:10.3969/j.issn.1000-3428.2012.08.081
用于模具编程的病毒进化遗传算法
Virus Evolution Genetic Algorithm for Mould Programming
摘要
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.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Key words
programming task planning/multi-objective optimization/virus evolutionary genetic algorithm/load balancing/degree of exposure分类
信息技术与安全科学引用本文复制引用
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):252-255,259,5.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) （2011BAJ02B02-02）
陕西省自然科学基金资助项目(2007E218) （2007E218）
陕西省科技攻关计划基金资助项目(2011K10-18) （2011K10-18）
陕西省教育厅自然科学专项基金资助项目(09JK559) （09JK559）
