Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems
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| Title: | Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems |
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| Authors: | Shuang Wang, Abdelazim G. Hussien, Heming Jia, Laith Abualigah, Rong Zheng |
| Source: | Mathematics ; Volume 10 ; Issue 10 ; Pages: 1696 |
| Publisher Information: | Multidisciplinary Digital Publishing Institute |
| Publication Year: | 2022 |
| Collection: | MDPI Open Access Publishing |
| Subject Terms: | remora optimization algorithm, adaptive dynamic probability, restart strategy, metaheuristic algorithm, constrained engineering problems |
| Description: | Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics the intelligent traveler behavior of Remora. However, the performance of ROA is barely satisfactory; it may be stuck in local optimal regions or has a slow convergence, especially in high dimensional complicated problems. To overcome these limitations, this paper develops an improved version of ROA called Enhanced ROA (EROA) using three different techniques: adaptive dynamic probability, SFO with Levy flight, and restart strategy. The performance of EROA is tested using two different benchmarks and seven real-world engineering problems. The statistical analysis and experimental results show the efficiency of EROA. |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | E: Applied Mathematics; https://dx.doi.org/10.3390/math10101696 |
| DOI: | 10.3390/math10101696 |
| Availability: | https://doi.org/10.3390/math10101696 |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: | edsbas.D90B2D07 |
| Database: | BASE |
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