Results 201 to 210 of about 39,754 (281)
An improved grey wolf optimizer for solving engineering problems
Expert Systems With Applications, 2021 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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Grey wolf optimizer with cellular topological structure
Expert Systems With Applications, 2018 Abstract Grey wolf optimizer (GWO) is a newly developed metaheuristic inspired by hunting mechanism of grey wolves. The paramount challenge in GWO is that it is prone to stagnation in local optima. This paper proposes a cellular grey wolf optimizer with a topological structure (CGWO). The proposed CGWO has two characteristics.
Chao Lｕ, Liang Gao, Jin Yi
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Boolean Binary Grey Wolf Optimizer [PDF]
2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022 Several binary swarm algorithms use the identical continuous proposal, adding a transfer function to mapping from continuous to binary space. It has been shown that binary operators are more appropriate and efficient for binary optimisation. Based on it,
Rodrigo Cesar Lira +3 more
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A novel Random Walk Grey Wolf Optimizer
Swarm and Evolutionary Computation, 2019Abstract Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of swarm intelligence for solving continuous optimization problems as well as real world optimization problems. The Grey Wolf Optimizer is the only algorithm in the category of swam intelligence which is based on leadership hierarchy.
Shubham Gupta, Kusum Deep
exaly +2 more sources
Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
Expert Systems With Applications, 2016Seyedali Mirjalili +2 more
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Journal of Computer Science, 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 ...
Mohammad-Hossein Nadimi-Shahraki +4 more
semanticscholar +2 more sources
Potential corrections to grey wolf optimizer
Applied Soft ComputingHsing-Chih Tsai, Jun-Yang Shi
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Recent advances in multi-objective grey wolf optimizer, its versions and applications
Neural computing & applications (Print), 2022 In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is provided. In multi-objective optimization (MO), more than one objective function must be considered at the same time.
S. Makhadmeh +4 more
semanticscholar +2 more sources
Grey wolf optimization with momentum for function optimization
Artificial Life and Robotics, 2021Grey wolf optimization (GWO) is one of the metaheuristics, which imitates the hierarchy structure and hunting mechanism in nature. In this paper, we propose an algorithm of grey wolf optimization with momentum (GWOM). The momentum has a movement vector of search point from a previous position to a current position.
Takuya Muto, Michiharu Maeda
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Improved dynamic grey wolf optimizer
Frontiers of Information Technology & Electronic Engineering, 2021In the standard grey wolf optimizer (GWO), the search wolf must wait to update its current position until the comparison between the other search wolves and the three leader wolves is completed. During this waiting period, the standard GWO is seen as the static GWO.
Xiaoqing Zhang 0013 +2 more
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