Optimization method for robust parameter design in multi-response problems based on genetic evolution

Computer Engineering and Applications ›› 2016, Vol. 52 ›› Issue (5): 250-254.

Previous Articles Next Articles

Optimization method for robust parameter design in multi-response problems based on genetic evolution

SHEN Ling1, ZENG Qiang2, YANG Longfei2, ZHANG Zebin2

1.School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China
2.School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China

Online:2016-03-01 Published:2016-03-17

基于GE的多响应参数稳健设计优化方法

沈玲1，曾强2，杨龙飞2，张泽斌2

1.河南理工大学安全科学与工程学院，河南焦作 454000
2.河南理工大学能源科学与工程学院，河南焦作 454000

Abstract

Abstract: An optimization method for robust parameter design in multi-response problems based on genetic evolution is proposed. The researched problem is described mathematically and an optimization model with the objective to minimize the weighted average quality loss of multi-response output parameters of experimental sample is bulit. An optimization method based on genetic evolution for the researched problem is presented. In the proposed method, the discretization is replaced by dense sampling, the experiment schemes are replaced by the individuals, the fixed internal table is replaced by transformable population, and the optimal design scheme is got through genetic evolution process. A genetic algorithm for robust parameter design in multi-response problems is presented and designed. The effectiveness of the proposed method is validated by case study.

Key words: robust parameter design, multi-response problems, genetic evolution, genetic algorithm

摘要： 提出了一种基于遗传进化的多响应参数稳健设计优化方法。对多响应参数稳建设计问题进行了数学描述，建立了以试验样本多响应输出参数的加权平均质量损失最小化为目标的数学优化模型；提出了多响应参数稳健设计的遗传进化优化方法：以密集抽样取代离散化处理，以个体取代试验方案，以变化的种群取代固定的内表，通过遗传进化得到最优设计方案；提出并设计了多响应参数稳健设计的遗传优化算法。通过案例分析验证了该方法的有效性。

关键词: 参数稳健设计, 多响应问题, 遗传进化, 遗传算法

SHEN Ling1, ZENG Qiang2, YANG Longfei2, ZHANG Zebin2. Optimization method for robust parameter design in multi-response problems based on genetic evolution[J]. Computer Engineering and Applications, 2016, 52(5): 250-254.

沈玲1，曾强2，杨龙飞2，张泽斌2. 基于GE的多响应参数稳健设计优化方法[J]. 计算机工程与应用, 2016, 52(5): 250-254.

[1]	LI Yuqi, LIU Zhiqian, CHENG Ningyi, WANG Yingying, ZHU Chunli. Path Planning of UAV Under Multi-constraint Conditions [J]. Computer Engineering and Applications, 2021, 57(4): 225-230.
[2]	YANG Wei, WU Yingying, WANG Ting. Research on Configuration Optimization Problems of Shuttle-Carrier Storage and Retrieval System [J]. Computer Engineering and Applications, 2021, 57(4): 258-265.
[3]	LI Qian, JIANG Li, LIANG Changyong. Multi-objective Cold Chain Distribution Optimization Based on Fuzzy Time Window [J]. Computer Engineering and Applications, 2021, 57(23): 255-262.
[4]	DU Shouxin, WU Tao. Study on Application of Double Population Hybrid Genetic Algorithm in Cut Order Planning [J]. Computer Engineering and Applications, 2021, 57(22): 182-189.
[5]	CAO Lijia, LIU Yang. Recent Advances in Scheduling Optimization of Automated Guided Vehicles in Manufacturing Workshops [J]. Computer Engineering and Applications, 2021, 57(21): 59-67.
[6]	CHEN Qianru, LI Yali, XU Kequan, LIU Yilong, WANG Shuqin. WKNN Feature Selection Method Based on Self-Tuning Adaptive Genetic Algorithm [J]. Computer Engineering and Applications, 2021, 57(20): 164-171.
[7]	MA Yanfang, LI Baoyu, YANG Yifu, FENG Cuiying. Two-Echelon Capacitated Vehicle Routing Model and Algorithm for Fresh Products Distribution with Customer Classification [J]. Computer Engineering and Applications, 2021, 57(20): 287-298.
[8]	SHI Yuqiang, TIAN Yongzheng, ZHANG Yuqi, SHI Xiaoqiu. Solving FJSP by Multi-population Genetic Algorithms with Complex Network Structure [J]. Computer Engineering and Applications, 2021, 57(2): 257-266.
[9]	DAI Jiangtao, HAN Xiaolong. Coordinated Scheduling of Equipment in Container Terminals Considering Energy Consumption Under Different Job Status [J]. Computer Engineering and Applications, 2021, 57(19): 290-298.
[10]	JIANG Liangzhong, LEI Hang, LI Zhenhao, QIAN Weizhong, SHI Gantu. Research on Outbound Slotting Optimization Method by Using Adaptive Optimization Weights [J]. Computer Engineering and Applications, 2021, 57(15): 271-278.
[11]	HE Jiao, TAN Dailun. Three-Dimensional Terrain Path Planning Based on Sight Range and Genetic Algorithm [J]. Computer Engineering and Applications, 2021, 57(15): 279-285.
[12]	FENG Xiaodong, HUANG Shirong, DAI Guan’ou, YANG Weijia, LUO Yaozhi. Research and Application of Beetle Antennae Genetic Hybrid Algorithm [J]. Computer Engineering and Applications, 2021, 57(15): 90-100.
[13]	SU Qing, LIN Huazhi, HUANG Jianfeng, LIN Zhiyi. Malicious Android Application Detection Combining CNN and Catboost Algorithm [J]. Computer Engineering and Applications, 2021, 57(15): 140-146.
[14]	WANG Xiuli, ZHOU Peng, HOU Jingnan, WANG Shijun, LIN Xia. Research on Algorithm of Inspection Path Planning for Substation Robot [J]. Computer Engineering and Applications, 2021, 57(14): 245-250.
[15]	CHEN Yuanwen. Application of MapReduce Technology in Problem of Material Transportation and Stowage [J]. Computer Engineering and Applications, 2021, 57(12): 273-278.

Optimization method for robust parameter design in multi-response problems based on genetic evolution

基于GE的多响应参数稳健设计优化方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics