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| DOI | 10.1016/j.eswa.2021.114685 |
| Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems | |
| Braik, Malik Shehadeh | |
| 通讯作者 | Braik, MS (corresponding author), Al Balqa Appl Univ, Dept Comp Sci, Al Salt, Jordan. |
| 来源期刊 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| ISSN | 0957-4174 |
| EISSN | 1873-6793 |
| 出版年 | 2021 |
| 卷号 | 174 |
| 英文摘要 | This paper presents a novel meta-heuristic algorithm named Chameleon Swarm Algorithm (CSA) for solving global numerical optimization problems. The base inspiration for CSA is the dynamic behavior of chameleons when navigating and hunting for food sources on trees, deserts and near swamps. This algorithm mathematically models and implements the behavioral steps of chameleons in their search for food, including their behavior in rotating their eyes to a nearly 360 degrees scope of vision to locate prey and grab prey using their sticky tongues that launch at high speed. These foraging mechanisms practiced by chameleons eventually lead to feasible solutions when applied to address optimization problems. The stability of the proposed algorithm was assessed on sixtyseven benchmark test functions and the performance was examined using several evaluation measures. These test functions involve unimodal, multimodal, hybrid and composition functions with different levels of complexity. An extensive comparative study was conducted to demonstrate the efficacy of CSA over other meta-heuristic algorithms in terms of optimization accuracy. The applicability of the proposed algorithm in reliably addressing real-world problems was demonstrated in solving five constrained and computationally expensive engineering design problems. The overall results of CSA show that it offered a favorable global or near global solution and better performance compared to other meta-heuristics. |
| 英文关键词 | Chameleon Swarm Algorithm Optimization techniques Meta-heuristics Nature-inspired algorithms Evolutionary algorithms Swarm intelligence algorithms |
| 类型 | Article |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000663144700006 |
| WOS关键词 | INTEGER |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/350206 |
| 作者单位 | [Braik, Malik Shehadeh] Al Balqa Appl Univ, Dept Comp Sci, Al Salt, Jordan |
| 推荐引用方式 GB/T 7714 | Braik, Malik Shehadeh. Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems[J],2021,174. |
| APA | Braik, Malik Shehadeh.(2021).Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems.EXPERT SYSTEMS WITH APPLICATIONS,174. |
| MLA | Braik, Malik Shehadeh."Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems".EXPERT SYSTEMS WITH APPLICATIONS 174(2021). |
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