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Modified Grey Wolf Algorithm for optimization problems
2016 International Conference on Inventive Computation Technologies (ICICT), 2016Grey Wolf Algorithm (GWA) is the recently developed metaheuristic technique. It is inspired from wolf's social and hunting behavior. In paper, a modification in GWA is proposed to provide the better balance between exploration and exploitation. The proposed algorithm is tested on thirteen benchmark test functions.
null Seema, Vijay Kumar
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An improved hybrid grey wolf optimization algorithm
Soft Computing, 2018The existing grey wolf optimization algorithm has some disadvantages, such as slow convergence speed, low precision and so on. So this paper proposes a grey wolf optimization algorithm combined with particle swarm optimization (PSO_GWO). In this new algorithm, the Tent chaotic sequence is used to initiate the individuals’ position, which can increase ...
Zhi-jun Teng, Jin-ling Lv, Li-wen Guo
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Fully Informed Grey Wolf Optimizer Algorithm
2020Grey wolf optimizer (GWO) is a newly generated metaheuristic search algorithm inspired by the social behaviour of the grey wolf, which resembles the social structure and hunting mechanism of grey wolves in nature, and is based on three main steps: searching for prey, encircling prey and attacking prey. This paper presents a new variant of GWO algorithm
Priyanka Meiwal +2 more
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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
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Optimization of Electricity Consumption using Grey Wolf Algorithm
2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), 2020This paper offers optimized electricity consumption values of a smart home around the year using Grey Wolf Algorithm. The results were studied in different temperature slabs and their accuracy was found using Support Vector Machines. The motivation of doing this analysis lies behind a survey done on the same dataset using PSO and Cuckoo algorithm.
Ritika Tilwalia +2 more
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A Multi-Strategy Combined Grey Wolf Optimization Algorithm
2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2019The Grey Wolf Optimization (GWO) Algorithm is a heuristic evolutionary algorithm inspired by the hunting and leadership mechanisms of the natural grey wolf. However, its location update equation has the disadvantages of strong development ability and weak exploration ability. To improve these shortcomings, we propose the RWCA-GWO algorithm.
Jie Sun, Ming Fu
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Grey Wolf Optimizer algorithm-based unit commitment problem
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020It is known that the electricity generator uses massive quantities of energy per year. Studies on the unit commitment problems have now been a very critical activity in a power plant. However, the current optimal solution of unit commitment problem obtained from the existing methods is very easy to collapse into a local minimum, resulting in bad ...
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Efficient computation offloading using grey wolf optimization algorithm
AIP Conference Proceedings, 2019The widely available smart-phones as well as other mobile devices can be utilized as valuable compute resources with the support of the powerful and elastic paradigm of cloud computing. This is possible by performing computations of a limited scale on mobile devices and migrating or offloading complex services to the cloud.
Parmeet Kaur, Shikha Mehta
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An improved grey wolf algorithm for global optimization
2018 Chinese Control And Decision Conference (CCDC), 2018This paper presents a novel improved grey wolf optimization (IGWO) to avoid local minimization and premature convergence. In the proposed IGWO algorithm, a nonlinear control parameter based on cosine function is presented to ensure a faster convergence rate of late iteration.
Wendong Gai +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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