GWO

GWO: Grey Wolf Optimizer. This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented. The algorithm is then benchmarked on 29 well-known test functions, and the results are verified by a comparative study with Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Differential Evolution (DE), Evolutionary Programming (EP), and Evolution Strategy (ES). The results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristics. The paper also considers solving three classical engineering design problems (tension/compression spring, welded beam, and pressure vessel designs) and presents a real application of the proposed method in the field of optical engineering. The results of the classical engineering design problems and real application prove that the proposed algorithm is applicable to challenging problems with unknown search spaces.


References in zbMATH (referenced in 96 articles )

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  1. Abualigah, Laith; Almotairi, Khaled H.; Elaziz, Mohamed Abd; Shehab, Mohammad; Altalhi, Maryam: Enhanced flow direction arithmetic optimization algorithm for mathematical optimization problems with applications of data clustering (2022)
  2. Agushaka, Jeffrey O.; Ezugwu, Absalom E.; Abualigah, Laith: Dwarf mongoose optimization algorithm (2022)
  3. Alimoradi, Mahmoud; Azgomi, Hossein; Asghari, Ali: Trees social relations optimization algorithm: a new swarm-based metaheuristic technique to solve continuous and discrete optimization problems (2022)
  4. Kutlu Onay, Funda; Aydemir, Salih Berkan: Chaotic hunger games search optimization algorithm for global optimization and engineering problems (2022)
  5. Nassef, Ahmed M.; Fathy, Ahmed; Abdelkareem, Mohammad Ali; Olabi, A. G.: Increasing bio-hydrogen production-based steam reforming ANFIS based model and metaheuristics (2022)
  6. Zheng, Jiaoyue; Hu, Gang; Ji, Xiaomin; Qin, Xinqiang: Quintic generalized Hermite interpolation curves: construction and shape optimization using an improved GWO algorithm (2022)
  7. Zheng, Rong; Jia, Heming; Abualigah, Laith; Wang, Shuang; Wu, Di: An improved remora optimization algorithm with autonomous foraging mechanism for global optimization problems (2022)
  8. Abualigah, Laith; Diabat, Ali; Mirjalili, Seyedali; Abd Elaziz, Mohamed; Gandomi, Amir H.: The arithmetic optimization algorithm (2021)
  9. Azizi, Mahdi: Atomic orbital search: a novel metaheuristic algorithm (2021)
  10. Chen, Chengcheng; Wang, Xianchang; Yu, Helong; Wang, Mingjing; Chen, Huiling: Dealing with multi-modality using synthesis of moth-flame optimizer with sine cosine mechanisms (2021)
  11. Ding, Song; Li, Ruojin; Wu, Shu: A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales (2021)
  12. Entesar, Ahmed; Qasim, Omar Saber: Solve fractional differential equations via a hybrid method between variational iteration method and gray wolf optimization algorithm (2021)
  13. Ibrahim, Rehab Ali; Abd Elaziz, Mohamed; Ewees, Ahmed A.; El-Abd, Mohammed; Lu, Songfeng: New feature selection paradigm based on hyper-heuristic technique (2021)
  14. Jui, Julakha Jahan; Ahmad, Mohd Ashraf: A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems (2021)
  15. Khalilpourazari, Soheyl; Pasandideh, Seyed Hamid Reza: Designing emergency flood evacuation plans using robust optimization and artificial intelligence (2021)
  16. Li, Zhu; Rehman, Khalil Ur; Wenhui, Liu; Atique, Faiza: Soft sensor modeling method based on SPA-GWO-SVR for marine protease fermentation process (2021)
  17. Mokhtarzadeh, Mahdi; Rabbani, Masoud; Manavizadeh, Neda: A novel two-stage framework for reducing ergonomic risks of a mixed-model parallel U-shaped assembly-line (2021)
  18. Mouassa, Souhil; Bouktir, Tarek; Jurado, Francisco: Scheduling of smart home appliances for optimal energy management in smart grid using Harris-hawks optimization algorithm (2021)
  19. Prakaash, A. S.; Sivakumar, K.: Optimized recurrent neural network with fuzzy classifier for data prediction using hybrid optimization algorithm: scope towards diverse applications (2021)
  20. Prasanth, Sikakollu; Singh, Uttam; Kumar, Arun; Tikkiwal, Vinay Anand; Chong, Peter H. J.: Forecasting spread of COVID-19 using google trends: a hybrid GWO-deep learning approach (2021)

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