| 题名 | Metaheuristic research: a comprehensive survey |
| 作者 | |
| 通讯作者 | Salleh, Mohd Najib Mohd |
| 发表日期 | 2019-12
|
| DOI | |
| 发表期刊 | |
| ISSN | 0269-2821
|
| EISSN | 1573-7462
|
| 卷号 | 52期号:4页码:2191-2233 |
| 摘要 | Because of successful implementations and high intensity, metaheuristic research has been extensively reported in literature, which covers algorithms, applications, comparisons, and analysis. Though, little has been evidenced on insightful analysis of metaheuristic performance issues, and it is still a "black box" that why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analyses performed on algorithms are mostly quantitative via performance validation metrics like mean error, standard deviation, and co-relations have been used. Moreover, the performance tests are often performed on specific benchmark functions-few studies are those which involve real data from scientific or engineering optimization problems. In order to draw a comprehensive picture of metaheuristic research, this paper performs a survey of metaheuristic research in literature which consists of 1222 publications from year 1983 to 2016 (33 years). Based on the collected evidence, this paper addresses four dimensions of metaheuristic research: introduction of new algorithms, modifications and hybrids, comparisons and analysis, and research gaps and future directions. The objective is to highlight potential open questions and critical issues raised in literature. The work provides guidance for future research to be conducted more meaningfully that can serve for the good of this area of research. |
| 关键词 | |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
|
| 重要成果 | ESI高被引
|
| 学校署名 | 其他
|
| 资助项目 | National Natural Science Foundation of China[61672334]
; National Natural Science Foundation of China[61773119]
; National Natural Science Foundation of China[61771297]
|
| WOS研究方向 | Computer Science
|
| WOS类目 | Computer Science, Artificial Intelligence
|
| WOS记录号 | WOS:000491051000002
|
| 出版者 | |
| EI入藏号 | 20180604756938
|
| EI主题词 | Benchmarking
; Evolutionary algorithms
; Global optimization
; Optimization
; Surveys
; Swarm intelligence
|
| EI分类号 | Engineering Research:901.3
; Optimization Techniques:921.5
|
| ESI学科分类 | COMPUTER SCIENCE
|
| 来源库 | Web of Science
|
| 引用统计 |
被引频次[WOS]：480
|
| 成果类型 | 期刊论文 |
| 条目标识符 | //www.snoollab.com/handle/2SGJ60CL/42124 |
| 专题 | 工学院_计算机科学与工程系 |
| 作者单位 | 1.Univ Tun Hussein Onn Malaysia, Fac Comp Sci & Informat Technol, Johor Baharu, Malaysia 2.Shaanxi Normal Univ, Sch Comp Sci, Xian, Shaanxi, Peoples R China 3.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China |
| 推荐引用方式 GB/T 7714 |
Hussain, Kashif,Salleh, Mohd Najib Mohd,Cheng, Shi,et al. Metaheuristic research: a comprehensive survey[J]. ARTIFICIAL INTELLIGENCE REVIEW,2019,52(4):2191-2233.
|
| APA |
Hussain, Kashif,Salleh, Mohd Najib Mohd,Cheng, Shi,&Shi, Yuhui.(2019).Metaheuristic research: a comprehensive survey.ARTIFICIAL INTELLIGENCE REVIEW,52(4),2191-2233.
|
| MLA |
Hussain, Kashif,et al."Metaheuristic research: a comprehensive survey".ARTIFICIAL INTELLIGENCE REVIEW 52.4(2019):2191-2233.
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| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
| Hussain-2019-Metaheu（1303KB） | -- | -- | 限制开放 | -- | ||
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