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IEEE Transactions on Automation Science and Engineering, 2022
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving increasing attention. They effectively preserve the ecological environment and promote the development of economy.
Xiwang Guo +5 more
semanticscholar +1 more source
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving increasing attention. They effectively preserve the ecological environment and promote the development of economy.
Xiwang Guo +5 more
semanticscholar +1 more source
2020
GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000.
Ahmed F. Ali, Mohamed A. Tawhid
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GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000.
Ahmed F. Ali, Mohamed A. Tawhid
openaire +2 more sources
Group-based synchronous-asynchronous Grey Wolf Optimizer
Applied Mathematical Modelling, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alma Rodríguez +7 more
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Quality and Reliability Engineering International, 2023
Analysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics.
Ashok Singh Bhandari +2 more
semanticscholar +1 more source
Analysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics.
Ashok Singh Bhandari +2 more
semanticscholar +1 more source
Chaotic grey wolf optimization
2016 International Conference on Progress in Informatics and Computing (PIC), 2016Grey wolf optimization algorithm (GWO) is a recently proposed meta-heuristics and has shown promising performance in solving complex function optimization and engineering problems. To further enrich the search dynamics of GWO, the chaotic local search (CLS) mechanism is incorporated into GWO to enhance the search by taking the properties of ergodicity ...
Hang Yu +4 more
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Learning-Based Grey Wolf Optimizer for Stochastic Flexible Job Shop Scheduling
IEEE Transactions on Automation Science and Engineering, 2022This work considers a stochastic flexible job shop scheduling with limited extra resources and machine-dependent setup time in a semiconductor manufacturing environment, which is an NP-hard problem.
Chengran Lin, Zhengcai Cao, Mengchu Zhou
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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. In the original GWO, half of the iterations are dedicated to exploration and the
Joshi, Himani, Arora, Sankalap
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Potential corrections to grey wolf optimizer
Applied Soft ComputingHsing-Chih Tsai, Jun-Yang Shi
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Transportation letters, 2022
Precise charging time prediction can effectively mitigate the inconvenience to drivers induced by inevitable charging behavior throughout trips. Although the effectiveness of the machine learning (ML) algorithm in predicting future outcomes has been ...
Irfan Ullah +4 more
semanticscholar +1 more source
Precise charging time prediction can effectively mitigate the inconvenience to drivers induced by inevitable charging behavior throughout trips. Although the effectiveness of the machine learning (ML) algorithm in predicting future outcomes has been ...
Irfan Ullah +4 more
semanticscholar +1 more source
Randomized Neighbour Grey Wolf Optimizer
2021At present time, swarm-intelligence-related algorithm covers a wide area of optimization. Grey wolf optimizer (GWO) algorithm is one of them. Grey wolves work in a group and they pantomimist the communal style of the wolf. In GWO a solution is upgraded by consolidating the instruction from the three best solutions in the explore area [1].
Shahnawaz Ali +2 more
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