Makale detayı · 2022
A new hybrid algorithm based on MVO and SA for function optimization
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
- Yıl
- 2022
- ISSN
1923-2926- Tür
- article
Veri kaynağı ayrımı
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Özet
İngilizce (OpenAlex)
Hybrid algorithms are widely used today to increase the performance of existing algorithms. In this paper, a new hybrid algorithm called IMVOSA that is based on multi-verse optimizer (MVO) and simulated annealing (SA) is used. In this model, a new method called the black hole selection (BHS) is proposed, in which exploration and exploitation can be increased. In the BHS method, the acceptance probability feature of the SA algorithm is used to increase exploitation by searching for the best regions found by the MVO algorithm. The proposed IMVOSA algorithm has been tested on 50 benchmark functions. The performance of IMVOSA has been compared with other latest and well-known metaheuristic algorithms. The consequences show that IMVOSA produces highly successful and competitive results.
Konular
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
Birincil konu Metaheuristic Optimization Algorithms Research