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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
exaly +2 more sources
Journal of Computational 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 H Nadimi-Shahraki +2 more
exaly +2 more sources
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R-GWO: Representative-based grey wolf optimizer for solving engineering problems
Applied Soft Computing Journal, 2021Abstract The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a sufficient performance for solving various optimization problems. However, it suffers from low exploration and population diversity because its optimization process is only based on the best three wolves greedily, and the information of other wolves does ...
Zahra Beheshti +2 more
exaly +3 more sources
Quality and Reliability Engineering International, 2023
AbstractAnalysis 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. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Singh Bhandari +2 more
openaire +2 more sources
AbstractAnalysis 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. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Singh Bhandari +2 more
openaire +2 more sources
GWO‐C: Grey wolf optimizer‐based clustering scheme for WSNs
International Journal of Communication Systems, 2020SummaryA wireless sensor network (WSN) is a prominent technology that could assist in the fourth industrial revolution. Sensor nodes present in the WSNs are functioned by a battery. It is impossible to recharge or replace the battery, hence energy is the most important resource of WSNs.
Deepika Agrawal +6 more
openaire +1 more source
Advances in Engineering Software, 2014 This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.
Andrew Lewis +2 more
exaly +2 more sources
Grey Wolf Optimization (GWO) Algorithm
2017This chapter describes the grey wolf optimization (GWO) algorithm as one of the new meta-heuristic algorithms. First, a brief literature review is presented and then the natural process of the GWO algorithm is described. Also, the optimization process and a pseudo code of the GWO algorithm are presented in this chapter.
Hossein Rezaei +2 more
openaire +1 more source
Multi-group grey wolf optimizer (MG-GWO) for estimating photovoltaic solar cell model
Journal of Thermal Analysis and Calorimetry, 2020The use of photovoltaic (PV) solar systems as a direct convertor of electricity is increasing on daily basis at industrial and domestic scales. Such systems are still under worldwide investigation due to their low efficiency to have better performance.
Mamdouh El Haj Assad +2 more
exaly +2 more sources
2017 Nineteenth International Middle East Power Systems Conference (MEPCON), 2017
The employment of renewable Distributed Generation (DG) sources in Radial Distribution Networks (RDNs) is providing both environmental friendly generation of electric energy and improvement of the overall performance of RDNs. In this study, Grey Wolf Optimization (GWO) algorithm is employed to determine the optimal locations and sizes (OSL) of ...
Mohamed Mohsen +3 more
openaire +1 more source
The employment of renewable Distributed Generation (DG) sources in Radial Distribution Networks (RDNs) is providing both environmental friendly generation of electric energy and improvement of the overall performance of RDNs. In this study, Grey Wolf Optimization (GWO) algorithm is employed to determine the optimal locations and sizes (OSL) of ...
Mohamed Mohsen +3 more
openaire +1 more source
Annals of Nuclear Energy, 2020
Abstract Loading pattern optimization (LPO) is a main issue of in-core fuel management. In this work, the Grey Wolf Optimizer (GWO) algorithm based on behavior of gray wolves for hunting is introduced for the multi-objective LPO of a WWER-1000 core. Besides the GWO, the Genetic Algorithm (GA) and Gravitational Search Algorithm (GSA) have been applied
A. Naserbegi, M. Aghaie, A. Zolfaghari
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Abstract Loading pattern optimization (LPO) is a main issue of in-core fuel management. In this work, the Grey Wolf Optimizer (GWO) algorithm based on behavior of gray wolves for hunting is introduced for the multi-objective LPO of a WWER-1000 core. Besides the GWO, the Genetic Algorithm (GA) and Gravitational Search Algorithm (GSA) have been applied
A. Naserbegi, M. Aghaie, A. Zolfaghari
openaire +1 more source