| Swarm intelligence: past, present and future | |
| Yang X.-S.3; Deb S.1; Zhao Y.-X.4; Fong S.2; He X.6 | |
| 2018-09-01 | |
| Source Publication | Soft Computing
 |
| ISSN | 14337479 14327643 |
| Volume | 22Issue:18Pages:5923-5933 |
| Abstract | Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recent years, though there are still many open problems in this area. This paper provides a short but timely analysis about SI-based algorithms and their links with self-organization. Different characteristics and properties are analyzed here from both mathematical and qualitative perspectives. Future research directions are outlined, and open questions are also highlighted. |
| Keyword | Bioinspired computing Metaheuristics Nature-inspired algorithms Optimization Self-organization Swarm intelligence |
| DOI | 10.1007/s00500-017-2810-5 |
| URL | View the original |
| Language | 英語 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Journal article |
| Collection | University of Macau |
| Affiliation | 1.IT & Educational Consultant 2.Universidade de Macau 3.Middlesex University 4.Harbin Engineering University 5.Victoria University Melbourne 6.Xi’an Polytechnic University |
| Recommended Citation GB/T 7714 | Yang X.-S.,Deb S.,Zhao Y.-X.,et al. Swarm intelligence: past, present and future[J]. Soft Computing,2018,22(18):5923-5933. |
| APA | Yang X.-S.,Deb S.,Zhao Y.-X.,Fong S.,&He X..(2018).Swarm intelligence: past, present and future.Soft Computing,22(18),5923-5933. |
| MLA | Yang X.-S.,et al."Swarm intelligence: past, present and future".Soft Computing 22.18(2018):5923-5933. |
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