Results 181 to 190 of about 4,765,015 (215)

A fuzzy hierarchical operator in the grey wolf optimizer algorithm

Applied Soft Computing, 2017
Abstract The main goal of this paper is to study the performance of the Grey Wolf Optimizer (GWO) algorithm when a new hierarchical operator is introduced in the algorithm. This new operator is basically a hierarchical transformation that is inspired in the hierarchical social pyramid of the grey wolf.
Luis Rodríguez, Oscar Castillo 0001, José Soria, Patricia Melin, Fevrier Valdez, Claudia I. González, Gabriela E. Martinez, Jesus Soto 0001   +7 more
openaire   +1 more source

Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML

Swarm and Evolutionary Computation
Chunming Ye
exaly   +3 more sources

Grey Wolf Optimization (GWO) Algorithm

2017
This 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, Omid Bozorg-Haddad, Xuefeng Chu   +2 more
openaire   +1 more source

The defect of the Grey Wolf optimization algorithm and its verification method

Knowledge-Based Systems, 2019
Abstract Grey wolf optimization algorithm (GWO) is a new meta-heuristic optimization technology. Its principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way. GWO is different from others in terms of model structure.
Peifeng Niu
exaly   +2 more sources

A Hybrid Grey Wolf-Bat Algorithm for Global Optimization

2018
Bio-inspired algorithms are now becoming powerful methods for solving many real-world optimization problems. In this paper, we propose a hybrid approach involving Grey Wolf optimizer (GWO) and Bat swarm optimizer (BA) for global function optimization problems. GWO is well known for its balanced exploration/exploitation behavior, while BA is known to be
Mohammed ElGayyar, Eid Emary, Nasser Hassan Sweilam, Maha Abdelazeem   +3 more
openaire   +2 more sources

A four-step decision-making grey wolf optimization algorithm

Soft Computing, 2021
Grey wolf optimization (GWO) is a meta-heuristic inspired by the social hierarchy and the hunting behaviors observed in wolves. The GWO algorithm has been successfully applied in many fields, such as finance, engineering and industry. However, the GWO has the disadvantages that it is prone to stagnate in local solutions, and the convergence may be ...
Chengsheng Pan, Zenghui Si, Xiuli Du, Yana Lv   +3 more
openaire   +1 more source

Modified Grey Wolf Algorithm for optimization problems

2016 International Conference on Inventive Computation Technologies (ICICT), 2016
Grey 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
openaire   +1 more source

An improved grey wolf algorithm for global optimization

2018 Chinese Control And Decision Conference (CCDC), 2018
This 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, Chengzhi Qu, Jie Liu, Jing Zhang   +3 more
openaire   +1 more source

Fully Informed Grey Wolf Optimizer Algorithm

2020
Grey 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, Harish Sharma, Nirmala Sharma   +2 more
openaire   +1 more source

Multidirectional Grey Wolf Optimizer Algorithm for Solving Global Optimization Problems

International Journal of Computational Intelligence and Applications, 2018
In this paper, we propose a new hybrid population-based meta-heuristics algorithm inspired by grey wolves in order to solve integer programming and minimax problems. The proposed algorithm is called Multidirectional Grey Wolf Optimizer (MDGWO) algorithm.
Mohamed A. Tawhid, Ahmed Fouad Ali
openaire   +1 more source