Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization
This work presents a rat optimization algorithm (ROA), which simulates the social behavior of rats and is a new nature-inspired optimization technique. The ROA consists of three operators that simulate rats searching for prey, chasing and fighting prey, and jumping and hunting prey to deal with opti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Biomimetics |
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| Online Access: | https://www.mdpi.com/2313-7673/9/12/732 |
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| _version_ | 1850042249193193472 |
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| author | Pianpian Yan Jinzhong Zhang Tan Zhang |
| author_facet | Pianpian Yan Jinzhong Zhang Tan Zhang |
| author_sort | Pianpian Yan |
| collection | DOAJ |
| description | This work presents a rat optimization algorithm (ROA), which simulates the social behavior of rats and is a new nature-inspired optimization technique. The ROA consists of three operators that simulate rats searching for prey, chasing and fighting prey, and jumping and hunting prey to deal with optimization issues. The Levy flight strategy is introduced into the ROA to keep the algorithm from running into issues with slow convergence and local optimums. The ROA is tested with four real-world engineering optimization issues and twenty-two benchmark functions. Experiments show that the ROA is particularly effective at solving real-world optimization problems compared to other well-known optimization techniques. |
| format | Article |
| id | doaj-art-8b13ed5d41564ea393a6fdf6170e3d20 |
| institution | DOAJ |
| issn | 2313-7673 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj-art-8b13ed5d41564ea393a6fdf6170e3d202025-08-20T02:55:36ZengMDPI AGBiomimetics2313-76732024-12-0191273210.3390/biomimetics9120732Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global OptimizationPianpian Yan0Jinzhong Zhang1Tan Zhang2School of Electrical and Photoelectronic Engineering, West Anhui University, Lu’an 237012, ChinaSchool of Electrical and Photoelectronic Engineering, West Anhui University, Lu’an 237012, ChinaSchool of Electrical and Photoelectronic Engineering, West Anhui University, Lu’an 237012, ChinaThis work presents a rat optimization algorithm (ROA), which simulates the social behavior of rats and is a new nature-inspired optimization technique. The ROA consists of three operators that simulate rats searching for prey, chasing and fighting prey, and jumping and hunting prey to deal with optimization issues. The Levy flight strategy is introduced into the ROA to keep the algorithm from running into issues with slow convergence and local optimums. The ROA is tested with four real-world engineering optimization issues and twenty-two benchmark functions. Experiments show that the ROA is particularly effective at solving real-world optimization problems compared to other well-known optimization techniques.https://www.mdpi.com/2313-7673/9/12/732rat optimization algorithm (ROA)Levy flight strategybenchmark test functionsswarm-intelligenceengineering optimization issues |
| spellingShingle | Pianpian Yan Jinzhong Zhang Tan Zhang Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization Biomimetics rat optimization algorithm (ROA) Levy flight strategy benchmark test functions swarm-intelligence engineering optimization issues |
| title | Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization |
| title_full | Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization |
| title_fullStr | Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization |
| title_full_unstemmed | Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization |
| title_short | Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization |
| title_sort | nature inspired approach a novel rat optimization algorithm for global optimization |
| topic | rat optimization algorithm (ROA) Levy flight strategy benchmark test functions swarm-intelligence engineering optimization issues |
| url | https://www.mdpi.com/2313-7673/9/12/732 |
| work_keys_str_mv | AT pianpianyan natureinspiredapproachanovelratoptimizationalgorithmforglobaloptimization AT jinzhongzhang natureinspiredapproachanovelratoptimizationalgorithmforglobaloptimization AT tanzhang natureinspiredapproachanovelratoptimizationalgorithmforglobaloptimization |