会议专题

Study on Multi-objective Optimization of Pre-drilling project based on Immune Genetic Algorithm

This article is based on the theoretical study and experimental analysis of multi-objective genetic algorithm and artificial immune algorithms characteristics, and presents a method which is based on immune genetic algorithm to solve multi-objective optimization problems. The main contents are as follows: Firstly, the multi-objective optimization problems are described. Secondly, this paper designs an improved immune genetic algorithm model. Finally, use an example of a company to verify the effect of algorithm to solve practical problems.

multi-objective optimization immune genetic algorithm pre-drilling project

Xue Dashen Qi Ming

College of transportation management Dalian Maritime University Dalian, China Qian HuiDe (DaLian) vocational work limited company Dalian, China

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

67-69

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)