Results 171 to 180 of about 17,412 (237)

Mutation-driven grey wolf optimizer with modified search mechanism

Expert Systems with Applications, 2022
The Grey wolf optimizer (GWO) is a recently introduced popular swarmintelligence-based metaheuristic algorithm, compared to other algorithms, it has shown competitive performance. Despite its popularity, the conventional GWO suffers from slow convergence
Shitu Singh, Jagdish Chand Bansal
semanticscholar   +4 more sources

An efficient modified grey wolf optimizer with Lévy flight for optimization tasks

Applied Soft Computing, 2017
Abstract The grey wolf optimizer (GWO) is a new efficient population-based optimizer. The GWO algorithm can reveal an efficient performance compared to other well-established optimizers. However, because of the insufficient diversity of wolves in some cases, a problem of concern is that the GWO can still be prone to stagnation at local optima.
Ali Asghar Heidari, Parham Pahlavani
semanticscholar   +4 more sources

Optimal Allocation of Distributed Generation Using Modified Grey Wolf Optimizer

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), 2022
In this paper a case study is performed to optimally allocate real power injections at unity power factor as DG on the IEEE 33 bus radial distribution system using a modified Grey Wolf Optimization method. The study is performed in MATLAB.
Ibrahim Alkhaleel Altayara, Essam A. Al-Ammar, Ghazi A. Ghazi, Ahmed A. AL Katheri   +3 more
openaire   +2 more sources

Diagnosis of Parkinson’s disease using modified grey wolf optimization

Cognitive Systems Research, 2019
Abstract This paper presents the Modified Grey Wolf Optimization (MGWO) algorithm which helps with the identification of the symptoms of Parkinson’s disease at a premature stage. Parkinson disease is kind of a movement malady, which if not cured timely can prove to be fatal.
Prerna Sharma, Shirsh Sundaram, Moolchand Sharma, Arun Sharma, Deepak Gupta   +4 more
openaire   +3 more sources

Path planning of patrol robot based on modified grey wolf optimizer

Robotica, 2023
AbstractThe grey wolf optimizer (GWO) as a new intelligent optimization algorithm has been successfully applied in many fields because of its simple structure, few adjustment parameters and easy implementation. This paper mainly aims at the defects of GWO in path planning application, such as easily falling into local optimization, poor convergence and
Qian Zhang, Xucheng Ning, Yingying Li, Lei Pan, Rui Gao, Liyang Zhang   +5 more
openaire   +2 more sources

Robust Energy Management for Uncertain Microgrid Using Modified Grey Wolf Optimizer

2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020
Uncertainties of renewable energy sources (RES) power generation and load demand have detrimental effects on the microgrid operation. In this paper, a robust optimization approach based on modified grey wolf optimizer is proposed to determine the optimal energy management for a typical micro-grid with regard to uncertainties. Furthermore, the influence
Yuhao Cao, Tengpeng Chen, Lu Sun, Yuhao Sun, Zhongbao Wei, Gehan A. J. Amaratunga   +5 more
openaire   +2 more sources

A Modified Grey Wolf Optimizer for Uav Path Planning

SSRN Electronic Journal, 2022
Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan   +2 more
openaire   +2 more sources

A modified grey wolf optimizer for wind farm layout optimization problem

International Journal of System Assurance Engineering and Management
Shitu Singh, Jagdish Chand Bansal
openaire   +2 more sources

Modified Grey Wolf Optimizer with Sparse Autoencoder for Financial Crisis Prediction in Small Marginal Firms

2023 Second International Conference on Electronics and Renewable Systems (ICEARS), 2023
Small marginal firms play an important role in the economy, and their failure has widespread consequences. As a result, it is critical that small marginal firms be capable of predicting financial crises in order to mitigate their negative impact ...
Rajib Bhattacharya, Kafila, S. H. Krishna, Dr. Bhadrappa Haralayya, Pooja Nagpal, Chitsimran   +5 more
semanticscholar   +1 more source

An Approach for Team Formation Using Modified Grey Wolf Optimizer

Communication Systems and Applications, 2023
Sandip T. Shingade, Rajdeep Niyogi
openaire   +2 more sources