High-Dimensional Feature Selection Using Improved Hybrid Breeding Optimization Algorithm with Feature Grouping. [PDF]
Ye Z, Yan Y, Ma Y, Ma F, Cai T.
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Analysis of hybrid CNN models optimized with metaheuristic algorithms for melanoma detection. [PDF]
Hermosilla P +6 more
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Magnification-independent breast cancer diagnosis using a GWO-enhanced vision transformer with multi-stage stain normalization. [PDF]
Fatma T +3 more
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Grey Wolf Optimization Inverse Mix Design of Steel Slag Asphalt Mixtures. [PDF]
Song H, Wang Z, Zheng Y.
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Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm. [PDF]
Cansu T, Bas E, Egrioglu E.
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A Grey Wolf Optimization Based Algorithm for Optimum Camera Placement
Camera placement is very important for surveillance applications. Proposed work presents a new method of optimum placement of visual sensors for maximum coverage of the predefined surveillance space. The surveillance space is modeled as priority areas (PAs), obstacles and feasible locations for placement of cameras.
Ajay Kaushik, S. Indu 0001, Daya Gupta
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An improved grey wolf optimizer for solving engineering problems
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global optimization and engineering design problems. This improvement is proposed to alleviate the lack of population diversity, the imbalance between the exploitation and ...
Mohammad H Nadimi-Shahraki +2 more
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Review of the grey wolf optimization algorithm: variants and applications
Neural Computing and Applications, 2023One of the most widely referenced Swarm Intelligence (SI) algorithms is the Grey Wolf Optimizer (GWO), which is based on the pack hunting and natural leadership organization of grey wolves. The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its ...
Yunyun Liu +4 more
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Enhanced Grey Wolf Optimization Algorithm for Global Optimization
Fundamenta Informaticae, 2017Grey Wolf Optimizer (GWO) is a new meta-heuristic search algorithm inspired by the social behavior of leadership and the hunting mechanism of grey wolves. GWO algorithm is prominent in terms of finding the optimal solution without getting trapped in premature convergence.
Himani Joshi, Sankalap Arora
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