Results 231 to 240 of about 39,754 (281)

LGWO: An Improved Grey Wolf Optimization for Function Optimization

2017
Grey wolf optimization (GWO) algorithm is a novel nature-inspired heuristic paradigm. GWO was inspired by grey wolves, which mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. It has exhibited promising performance in many fields. However, GWO algorithm has the drawback of slow convergence and low precision.
Jie Luo 0002, Huiling Chen 0001, Kejie Wang, Changfei Tong, Jun Li 0061, Zhen-Nao Cai   +5 more
openaire   +1 more source

Recommender system with grey wolf optimizer and FCM

Neural Computing and Applications, 2016
Recommender systems are contributing a significant aspect in information filtering and knowledge management systems. They provide explicit and reliable recommendations to the users so that user can get information about all products in e-commerce domain.
Rahul Katarya, Om Prakash Verma
openaire   +1 more source

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

, 2020
Achieving a reliable model for predicting the compressive strength (CS) of concrete can save in time, energy, and cost and also provide information about scheduling for construction and framework removal.
E. Golafshani, A. Behnood, M. Arashpour
semanticscholar   +1 more source

Natural selection methods for Grey Wolf Optimizer

Expert Systems with Applications, 2018
Abstract 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, Mohammed A. Awadallah 0001, Hossam Faris, Ibrahim Aljarah, Abdelaziz I. Hammouri   +4 more
openaire   +1 more source

Evolutionary population dynamics and grey wolf optimizer

Neural Computing and Applications, 2014
Evolutionary 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, Mirjalili, Seyedeh Zahra, Mirjalili, Seyed Mohammad   +2 more
openaire   +2 more sources

Hybrid Grey Wolf Optimizer with Mutation Operator

2018
Grey Wolf Optimizer (GWO), developed by Mirjalili et al. (Adv Eng Softw 69:46–61, 2014 [1]), is a recently developed nature-inspired technique based on leadership hierarchy of grey wolves. In this paper, Grey Wolf Optimizer has been hybridized with differential evolution (DE) mutation, and two versions, namely DE-GWO and gDE-GWO, have been proposed to ...
Shubham Gupta, Kusum Deep
openaire   +1 more source

Ehnanced Grey Wolf Optimizer

2023
Radka Poláková, Daniel Valenta
openaire   +1 more source

Neural Network-based control using Actor-Critic Reinforcement Learning and Grey Wolf Optimizer with experimental servo system validation

Expert systems with applications, 2023
Iuliu Alexandru Zamfirache, Radu-Emil Precup, Raul-Cristian Roman, E. Petriu   +3 more
semanticscholar   +1 more source

An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem

Scientific Reports
Engineering design optimization problems present significant challenges due to the complexity of objective functions, which often involve both continuous and discrete design variables, along with multiple constraints. GWO and PSO are well-known heuristic
Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, C. Shiva, W. Mbasso   +6 more
semanticscholar   +1 more source

A Communication Strategy for Paralleling Grey Wolf Optimizer

2015
In 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, Thi-Kien Dao, Trong-The Nguyen, Shu-Chuan Chu 0001   +3 more
openaire   +1 more source