会议论文

Multi-ob ective satisfactory ptimi ation method 收藏

多OB ective满意ptimi通货膨胀的方法
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关键词
Automation; Cost accounting; Cost function; Equations; Flowcharts; Genetic algorithms; Neural networks; Optimization methods; Reliability; Steady-state;
关键词译文
自动化;成本会计;成本函数;方程;流程图;遗传算法;神经网络;优化方法;可靠性;稳定状态;
发布日期
1-3 Dec. 2004
页码
695-699
DOI
10.1109/ICCIS.2004.1460672
来源信息
Cybernetics and Intelligent Systems, IEEE Conference on ISBN：0-7803-8643-4, 2004年, 卷, 695-699页
摘要
The multi-objective satisfactory optimi ation method is deveIoped in this paper. The proposed method is based on neural networks and genetic algorithm, and it is able tu overcome the shortcoming of the single-objective optimization on the working unit of the loader, An example of the working unit optimi ation of the loader is given to illustrate the effectiveness of the proposed multi-objective satisfactory optimization method.
摘要译文
多目标满意优化解通货膨胀的方法在此paperThe提出的方法是deveIoped基于神经网络和遗传算法，它能够克服涂装载机的工作装置，一个例子在单目标优化的缺点装载机的工作装置优化解通货膨胀的以演示所提出的多目标满意优化方法的有效性
Multi-ob ective satisfactory ptimi ation method[C]//Cybernetics and Intelligent Systems, 2004 IEEE Conference on, Singapore, 1-3 Dec. 2004, SG: IEEE, 2004: 695-699