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Natural selection methods for Grey Wolf Optimizer
Expert Systems with Applications, 2018Abstract The selection process is the most attractive operator in the optimization algorithms. It normally mimics the natural selection of survival of the fittest principle. When the selection is too greedy, the selection pressure will be high and therefore the search becomes biased toward exploitation.
Mohammed Azmi Al-Betar +4 more
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Evolutionary population dynamics and grey wolf optimizer
Neural Computing and Applications, 2014Evolutionary population dynamics (EPD) deal with the removal of poor individuals in nature. It has been proven that this operator is able to improve the median fitness of the whole population, a very effective and cheap method for improving the performance of meta-heuristics. This paper proposes the use of EPD in the grey wolf optimizer (GWO). In fact,
Saremi, Shahrzad +2 more
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A Communication Strategy for Paralleling Grey Wolf Optimizer
2015In this paper, a communication strategy for the parallelized Grey Wolf Optimizer is proposed for solving numerical optimization problems. In this proposed method, the population wolves are split into several independent groups based on the original structure of the Grey Wolf Optimizer (GWO), and the proposed communication strategy provides the ...
Tien-Szu Pan +3 more
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An Optimized Grey Wolf Algorithm
2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC), 2022Die Zeng +5 more
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Parameter Optimization of MFAC Based on Grey Wolf Optimizer
2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC), 2023Yiming Zhou, Xiangshun Li
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ANNEALED GREY WOLF OPTIMIZATION
Advances in Mathematics: Scientific Journal, 2020S. Bahuguna, A. Pal
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Modelling the Social Interactions in Grey Wolf Optimizer
2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2021Rodrigo C. Lira +4 more
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