Experiments on neighborhood combination strategies for bi-objective unconstrained binary quadratic programming problem
Xue, Li-Yuan1; Zeng, Rong-Qiang2,3; An, Wei4; Wang, Qing-Xian4; Shang, Ming-Sheng5
2017
会议日期June 17, 2017 - June 18, 2017
会议地点Haikou, China
DOI10.1007/978-981-10-6442-5_42
页码444-453
通讯作者Zeng, Rong-Qiang (zrq@swjtu.edu.cn)
英文摘要Local search is known to be a highly effective metaheuristic framework for solving a number of classical combinatorial optimization problems, which strongly depends on the characteristics of neighborhood structure. In this paper, we integrate the neighborhood combination strategies into the hypervolume-based multi-objective local search algorithm, in order to deal with the bi-objective unconstrained binary quadratic programming problem. The experimental results show that certain combinations are superior to others. The performance analysis sheds lights on the ways to further improvements. © 2017, Springer Nature Singapore Pte Ltd.
会议录8th International Symposium on Parallel Architectures, Algorithms, and Programming, PAAP 2017
语种英语
ISSN号18650929
内容类型会议论文
源URL[http://119.78.100.138/handle/2HOD01W0/4698]  
专题大数据挖掘及应用中心
作者单位1.EHF Key Laboratory of Science, School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu; Sichuan; 611731, China;
2.School of Mathematics, Southwest Jiaotong University, Chengdu; Sichuan; 610031, China;
3.Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu; Sichuan; 610041, China;
4.School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu; Sichuan; 610054, China;
5.Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China
推荐引用方式
GB/T 7714
Xue, Li-Yuan,Zeng, Rong-Qiang,An, Wei,et al. Experiments on neighborhood combination strategies for bi-objective unconstrained binary quadratic programming problem[C]. 见:. Haikou, China. June 17, 2017 - June 18, 2017.
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