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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

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   +1 more
openaire   +1 more source

Stationary Wavelet Transform with Modified Grey Wolf Optimizer for Digital Image Watermarking

International Conference on Adaptive and Intelligent Systems, 2023
Robust digital image watermarking is a data security system which is extremely utilized for resolving many problems mainly concerned with copyright protection and ownership authentication. Robust watermarking conceals a lesser signal termed a "watermark"
R. Parthiban, S. Manikandan
semanticscholar   +1 more source

Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm

2020 International Joint Conference on Neural Networks (IJCNN), 2020
In this paper, we propose a new maximum entropy clustering algorithm by modified grey wolf optimizer (GWO), which modify the traditional GWO from twofold: First, nonlinear decay factor is constructed, which leads to flexible refined search; Second, proportional weights, which render the positions of distinct grey wolves, are adjusted adaptively ...
Jia Cai, Guanglong Xu, Wenwen Ye
openaire   +1 more source

Multi-objective Modified Grey Wolf Optimizer for Optimal Power Flow

2016 Eighteenth International Middle East Power Systems Conference (MEPCON), 2016
This paper presents a new Single/Multi-Objective Optimization algorithm inspired by hunting behavior of Grey Wolves (S/MOGWO). Modification is introduced to enhance the convergence rate of GWO. The proposed algorithm has been applied to minimize the emission grades of deleterious pollutants and to reduce the generating cost individually.
Al-Attar Ali Mohamed   +3 more
openaire   +1 more source

Modified Grey Wolf Optimization to Solve Traveling Salesman Problem

2018 International Conference on Innovation in Engineering and Technology (ICIET), 2018
Traveling Salesman Problem (TSP) is arguably the most familiar combinatorial optimization problem. TSP is also a very popular benchmark problem for performance verification of new optimization algorithms even though the algorithms are developed for different problems such as numerical optimization. This paper proposes a new method to solve TSP based on
Dibbendu Singha Sopto   +3 more
openaire   +1 more source

Symmetrical indoor visible light layout optimized by a modified grey wolf algorithm

Applied Optics, 2022
The indoor visible light communication system’s LED layout and power factor affect the uniformity of the received power. To reduce the mean square error (MSE) of received power, a symmetrical optimization strategy based on the modified grey wolf optimization algorithm (mGWO) is proposed and applied in the square, rectangular, and circular rooms with ...
Yihang Zuo, Bojun Liu, Kunming Shao
openaire   +2 more sources

Highly Uniform Field Three-Axis Coils Using Modified Grey-Wolf Optimizer for Atomic Magnetometers

IEEE Sensors Journal
Uniform magnetic field coils are an important part of high-precision atomic magnetometers. Such as, in vector atomic magnetometers (need three-axis uniform field coils).
Pengcheng Du   +4 more
semanticscholar   +1 more source

Modified Grey Wolf Optimization Algorithm for Transmission Network Expansion Planning Problem

Arabian Journal for Science and Engineering, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khandelwal, Ashish   +3 more
openaire   +1 more source

Early Detection of Autism Spectrum Disorder Using Support Vector Machine and a Modified Grey Wolf Optimizer

2025 International Conference on Computing, Intelligence, and Application (CIACON)
Children with autism spectrum disorder (ASD) have difficulties with social interactions, communication, and sensory processing. For prompt support and intervention, early detection is crucial.
Diptendu Bhattacharya   +3 more
semanticscholar   +1 more source

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