• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Mechanical Engineering and Mechanics vol.1; 20051026-28; Nanjing(CN) >Evolutionary Multi-objective Optimization Algorithm with Expert Rules for Mechanical Design
【24h】

Evolutionary Multi-objective Optimization Algorithm with Expert Rules for Mechanical Design

机译：机械设计专家规则的进化多目标优化算法

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A novel method of evolutionary multi-objective optimization with expert rules was proposed, which can deal with the physical behaviour of structures, materials and technological requirements simultaneously. The new algorithm is incorporated into expert knowledge, which is an elegant way to guide the algorithm towards the feasible global optimum, instead of letting it search for the admissible domain. Simultaneously, the given expert rules can be used to repair the members of the population violating those rules within the optimization process. Furthermore, Davis and Putnam's algorithm is implemented to check the logical consistency of rule bases. Afterwards, the standard multi-objective evolutionary algorithms are utilized to develop design system. Finally, an example is given to illustrate the validity of evolutionary multi-objective optimization with expert rules. Detailed analysis of the certain Pareto solutions and the initial design is illustrated. The successful implementation in mechanical design testifies the feasibility of the theories and methods and provides another practical tool of multi-objective optimization for evolutionary algorithms comity.
机译：提出了一种新的具有专家规则的进化多目标优化方法，该方法可以同时处理结构，材料和技术要求的物理行为。将该新算法并入专家知识中，这是一种指导算法朝着可行的全局最优方向发展的好方法，而不是让它搜索允许的域。同时，给定的专家规则可用于修复在优化过程中违反那些规则的总体成员。此外，实现了Davis和Putnam的算法来检查规则库的逻辑一致性。之后，利用标准的多目标进化算法来开发设计系统。最后，给出一个例子来说明具有专家规则的进化多目标优化的有效性。说明了某些Pareto解决方案和初始设计的详细分析。机械设计的成功实施验证了该理论和方法的可行性，并为进化算法的友好性提供了另一种多目标优化的实用工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号