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Modified Quasi-Opposition-Based Grey Wolf Optimization for Mathematical and Electrical Benchmark Problems
| Content Provider | MDPI |
|---|---|
| Author | Dubey, Salil Madhav Dubey, Hari Mohan Salkuti, Surender Reddy |
| Copyright Year | 2022 |
| Description | This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions and (ii) four practical complex constrained electrical problems that include economic dispatch of 15, 40, and 140 power generating units and a microgrid problem with different energy sources. The obtained results are compared with the reported results using other methods available in the literature. Considering the solution quality of all test cases, the proposed technique seems to be a promising alternative for solving complex constrained optimization problems. |
| Starting Page | 5704 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15155704 |
| Journal | Energies |
| Issue Number | 15 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-05 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Quasi-opposed Learning Grey Wolf Optimizer Mathematical Benchmark Electrical Benchmark Box Plot Analysis Microgrid |
| Content Type | Text |
| Resource Type | Article |
