Multi-objective Optimization of Drilling Parameters Based on Pareto Optimality

被引：4
|
作者：
Wang K. [1 ]
Wang R. [1 ]
Liu Y. [1 ]
Song G. [1 ]
机构：
[1] School of Mechanical Engineering and Automation, Northeastern University, Shenyang
来源：
Song, Guiqiu (song1892@sina.com) | 2017年 / Chinese Mechanical Engineering Society卷 / 28期
关键词：
Constrained-dominated principle; Constrained-multi-objective optimization with evolutionary algorithm; Drilling machine; Drilling parameter; Pareto optimal solution;
D O I：
10.3969/j.issn.1004-132X.2017.13.011
中图分类号：
学科分类号：
摘要：
A multi-objective optimization of drilling parameters method based on Pereto principle was put forward to optimize horizontal directional drill machine. The optimization model of drill parameters was developed. Modifications were made based on NSGA-II due to the deficiency of penalty function method in handling constraints. Therefore, an effective constraints handling strategy utilizing constrained domination principle was introduced. To prevent premature, and accelerate the convergence speed towards optimal Pareto front, the original crowding distance calculation method was modified based on the niche concept. A new adaptive crossover and mutation strategy was put forward. Finally, the modified algorithm was applied to optimization model of drilling parameters which was built based on a coal mine. The results show that the modified algorithm has better convergence and distribution compared with NSGA-II and MOPSO when solving test problems. The distribution of solution set is evenly when applying the algorithm to solve optimization model of drilling parameters. It improves the mechanical drilling speed effectively, extentes the life of drilling and decreases the energy ratio of drilling. © 2017 Chin. Soc. for Elec. Eng.
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页码：1580 / 1587
页数：7
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