Grey wolf optimization with momentum for function optimization

2021 ◽  
Author(s):  
Takuya Muto ◽  
Michiharu Maeda
Keyword(s):  
Function Optimization ◽  
Grey Wolf ◽  
Grey Wolf Optimization

LGWO: An Improved Grey Wolf Optimization for Function Optimization

2017 ◽  
pp. 99-105 ◽  
Author(s):  
Jie Luo ◽  
Huiling Chen ◽  
Kejie Wang ◽  
Changfei Tong ◽  
Jun Li ◽  
...  
Keyword(s):  
Function Optimization ◽  
Grey Wolf ◽  
Grey Wolf Optimization

scholarly journals A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 26343-26361 ◽  
Author(s):  
Sankalap Arora ◽  
Harpreet Singh ◽  
Manik Sharma ◽  
Sanjeev Sharma ◽  
Priyanka Anand
Keyword(s):  
Feature Selection ◽  
Hybrid Algorithm ◽  
Search Algorithm ◽  
Function Optimization ◽  
Grey Wolf ◽  
Grey Wolf Optimization

Evaluation of Grey Wolf Optimization Algorithm on Rigid and Flexible Receptor Docking

2020 ◽  
Author(s):  
Kin Meng Wong ◽  
Shirley Siu
Keyword(s):  
Scoring Function ◽  
Ligand Docking ◽  
Receptor Protein ◽  
Pose Prediction ◽  
Grey Wolf ◽  
Success Rates ◽  
Autodock Vina ◽  
Grey Wolf Optimization ◽  
Structure Based Drug Design ◽  
Docking Program

Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein in current structure-based drug design. In this paper, we evaluate the performance of grey wolf optimization (GWO) in protein-ligand docking. Two versions of the GWO docking program – the original GWO and the modified one with random walk – were implemented based on AutoDock Vina. Our rigid docking experiments show that the GWO programs have enhanced exploration capability leading to significant speedup in the search while maintaining comparable binding pose prediction accuracy to AutoDock Vina. For flexible receptor docking, the GWO methods are competitive in pose ranking but lower in success rates than AutoDockFR. Successful redocking of all the flexible cases to their holo structures reveals that inaccurate scoring function and lack of proper treatment of backbone are the major causes of docking failures.

Optimal Conductor Selection Using Grey Wolf Optimization

2016 ◽  
Vol 4 (3) ◽  
pp. 39
Author(s):  
Ramanaiah M. LAXMIDEVI ◽  
REDDY M. DAMODAR ◽  
◽  
Keyword(s):  
Grey Wolf ◽  
Grey Wolf Optimization

scholarly journals Hybrid WGWO: whale grey wolf optimization-based novel energy-efficient clustering for EH-WSNs

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Rajkumar Singh Rathore ◽  
Suman Sangwan ◽  
Shiv Prakash ◽  
Kabita Adhikari ◽  
Rupak Kharel ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Energy Efficient Clustering
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