Results 261 to 270 of about 46,935 (324)

Improved Discrete Grey Wolf Optimizer

2018 26th European Signal Processing Conference (EUSIPCO), 2018
Grey wolf optimizer (GWO) is a bioinspired iterative optimization algorithm which simulates the hunting process of a wolf pack guided by three leaders. In this paper, a novel discrete GWO is proposed: a random leader selection is performed, and the probability for the main leader to be selected increases at the detriment of the other leaders across ...
Martin, Benoît, Marot, Julien, Bourennane, Salah   +2 more
openaire   +1 more source

Modified Binary Grey Wolf Optimizer

2020
This 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, Edimar José de Oliveira   +1 more
openaire   +1 more source

Multiobjective Design of 2D Hyperchaotic System Using Leader Pareto Grey Wolf Optimizer

IEEE Transactions on Systems, Man, and Cybernetics: Systems
A chaotic system is a mathematical model exhibiting random and unpredictable behavior. However, existing chaotic systems suffer from suboptimal parameters regarding chaotic indicators.
A. Toktaş, U. Erkan, Deniz Ustun, Qiang Lai   +3 more
semanticscholar   +1 more source

Entropy Based Grey Wolf Optimizer

2020
Recently 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, P. B. de Moura Oliveira, E. J. Solteiro Pires   +2 more
openaire   +1 more source

IMPROVEMENT OF WOLF LEADER IN THE GREY WOLF OPTIMIZATION

Konya Journal of Engineering Sciences, 2023
The 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

2020
In 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

2020
Over 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, Harish Sharma, Nirmala Sharma   +2 more
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

Howling mechanism based grey wolf optimizer

2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017
Grey 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, Ninnala Sharma, Harish Sharma   +2 more
openaire   +1 more source

Levy inspired Enhanced Grey Wolf Optimizer

2019 Fifth International Conference on Image Information Processing (ICIIP), 2019
Grey 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, Manika Kaushik, Kashish Chugh, Avinash Chandra Pandey   +3 more
openaire   +1 more source