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 |
DOI | 10.1007/978-981-10-6442-5_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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论