Results 21 to 30 of about 3,332,658 (221)
On the Binarization of Grey Wolf Optimizer: A Novel Binary Optimizer Algorithm [PDF]
Soft Computing, 2021 Abstract Grey Wolf Optimizer (GWO) is a population-based evolutionary algorithm inspired by the hunting behaviour of grey wolves. GWO, in its basic form, is a real coded algorithm, therefore, it needs modifications to deal with binary optimization problems.
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Frontiers in Earth Science, 2023 Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast the displacements of hydropower ...
Peng He, Wenjing Wu
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Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm
Mathematics, 2022 This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset +3 more
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, 2022 Swarm-based metaheuristic optimization algorithms have demonstrated outstanding performance on a wide range of optimization problems in both science and industry.
Meidani, Kazem +3 more
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Hybrid Grey Wolf Optimizer Based Optimal Capacitor Placement in Radial Distribution Systems
, 2022 The problem of optimal capacitor placement (OCP), or the determination of both the optimal bus locations and sizes in radial distribution systems (RDS) has been solved in this article using a new metaheuristic algorithm named as the hybrid grey wolf ...
Mirjalili, S +5 more
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IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
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, 2022 In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce the existing high selective pressure and low diversification of the GWO ...
Bahreininejad, Ardeshir +4 more
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Volitive Grey Wolf Optimizer [PDF]
, 2023 Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics.
Bastos Filho, Carmelo +4 more
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm
Advances in Civil Engineering, 2023 This study will solve the classical vehicle routing problem, the goal is to generate k trips with the shortest distance for h customers with predetermined locations and needs..
Vu Hong Son Pham, Van Nam Nguyen
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A Novel Grey Wolf Optimizer Algorithm With Refraction Learning [PDF]
IEEE Access, 2019 Grey wolf optimizer (GWO) is a relatively new algorithm in the field of swarm intelligence for solving numerical optimization as well as real-world optimization problems. However, the paramount challenge in GWO is that it is prone to stagnation in local optima.
Wen Long +5 more
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