Results 221 to 230 of about 52,757 (270)
Some of the next articles are maybe not open access.
Modified Binary Grey Wolf Optimizer
2020This chapter presents applications of the meta-heuristic known as grey wolf optimizer (GWO) to solve the NP-hard transmission network expansion planning (TNEP) problem. The computational intelligence technique known as GWO mathematically models the hunting technique and social hierarchy of grey wolves to solve optimization problems.
Gustavo Rebello +1 more
openaire +1 more source
Entropy Based Grey Wolf Optimizer
2020Recently Shannon’s Entropy has been incorporated in nature inspired metaheuristics with good results. Depending on the problem, the Grey Wolf Optimization (GWO) algorithm may suffer from premature convergence. Here, an Entropy Grey Wolf Optimization (E-GWO) technique is proposed with the overall aim to improve the original GWO performance.
Daniel Duarte +2 more
openaire +1 more source
IMPROVEMENT OF WOLF LEADER IN THE GREY WOLF OPTIMIZATION
Konya Journal of Engineering Sciences, 2023The development of optimization algorithms attracts the attention of many analysts as it has advantages such as increasing performance, revenue, and efficiency in various fields, and reducing cost. Swarm-based optimization algorithms, which are among the meta-heuristic methods, are more commonly preferred because they are generally successful.
Onur İNAN, Mustafa Serter UZER
openaire +2 more sources
Repulsion-Based Grey Wolf Optimizer
2020In this paper, a novel algorithm called Repulsion-based Grey Wolf Optimizer (R-GWO) is presented. The proposed algorithm is an improvement of the already existing popular swarm intelligence algorithm, called Grey Wolf Optimizer (GWO). The aim of the proposed work is to enhance the balance between exploitation and exploration in GWO by introducing a ...
Ankita Wadhwa, Manish Kumar Thakur
openaire +1 more source
Neighbourhood-Inspired Grey Wolf Optimizer
2020Over the past few decades, swarm intelligence (SI)-based algorithms are performing well in the optimization field. Grey wolf optimizer (GWO) is a new addition for the class of SI-based algorithms. It mimes the social behaviour of grey wolves. In GWO, a solution is updated by incorporating the information from the first fittest, second fittest and third
Priyanka Meiwal +2 more
openaire +1 more source
Anais do XVI Congresso Brasileiro de Inteligência Computacional
Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics. We present in this paper the Volitive Grey Wolf Optimizer (VGWO), a Grey Wolf Optimizer variant created by the addition of the collective ...
Joao Paulo Silva +4 more
openaire +1 more source
Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics. We present in this paper the Volitive Grey Wolf Optimizer (VGWO), a Grey Wolf Optimizer variant created by the addition of the collective ...
Joao Paulo Silva +4 more
openaire +1 more source
Howling mechanism based grey wolf optimizer
2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017Grey wolf optimizer (GWO) is an efficient optimization approach in the generation of swarm intelligence based techniques. GWO algorithm relies on the leadership quality and hunting mechanism shown by grey wolves. Half of the iteration in GWO are dedicated to exploration and the rest half are used for exploitation.
Chitra Dadhich +2 more
openaire +1 more source
Levy inspired Enhanced Grey Wolf Optimizer
2019 Fifth International Conference on Image Information Processing (ICIIP), 2019Grey Wolf Algorithm is a recently established efficient optimization algorithm stimulated by the pursuing technique of the grey wolves. In GWO, the next location of the search individuals is modified with respect to the leading wolves. Since in GWO, all the individuals are moving towards the leading wolves and leading wolves often stick to some local ...
Suhani Kohli +3 more
openaire +1 more source
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
β-Hill Climbing Grey Wolf Optimizer
2021The grey wolf optimizer (GWO) is a promising neoteric algorithm for the optimization of swarm intellect and it draws inspiration from the power structure of Canis lupus wolves. There may be some downsides to the current grey wolf optimization algorithm, like slow convergence speed, low precision, and so forth.
Saniya Bahuguna, Ashok Pal
openaire +1 more source