Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm [PDF]
Scientific ReportsThe grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment parameters and is widely used in various fields.
Gang Cheng, Yadong Liu
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A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm [PDF]
Algorithms, 2015 Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization.
Qifang Luo +3 more
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Improved grey wolf algorithm for optimization problems [PDF]
Indonesian Journal of Electrical Engineering and Computer Science, 2021 The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many optimization problems and give better solution as compare to other algorithms.
Hassim, Yana Mazwin Mohmad +4 more
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Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy
IEEE Access, 2023 This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach.
Haojie Zhang +5 more
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Grey Wolf Algorithm for Requirements Prioritization
Modern Applied Science, 2018 Requirement prioritization is one of the most important approach in the process of requirement engineering due to use it in order to prioritize the execution sort of requirements with taking into account the viewpoints of stakeholders.
Raja Masadeh +2 more
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Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm
Journal of Marine Science and EngineeringShip piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts ...
Yongjin Lu +4 more
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An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm [PDF]
Jurnal Ilmiah Teknik Industri, 2022 Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases.
Cynthia Novel Al-Imron +2 more
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Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization
Applied SciencesFor gas source localization in three-dimensional space, the leakage diffusion of the gas source is first modeled as a superposition of multiple Gaussian puffs.
Xiangjin Zeng, Song Feng, Hengyu Zhou
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Optimization design of car door structure considering aesthetics and safety. [PDF]
PLoS ONETo enhance the performance of multi-objective optimization algorithms in the optimization design of car door structures and comprehensively optimize the aesthetics and safety of car doors, an improved multi-objective grey wolf optimization algorithm is ...
Yu'an Ning, Kiesu Kim
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Grey Wolf Algorithm-Based Clustering Technique
Journal of Intelligent Systems, 2017 The main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC ...
Kumar Vijay +2 more
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