A New Grey Wolf Optimization Algorithm with Improved Convergence Factor and Mutation Strategy

2020 ◽  
Author(s):  
Zhenyu Wang ◽  
Meijin Lin ◽  
Danfeng Chen
Keyword(s):  
Optimization Algorithm ◽  
Grey Wolf ◽  
Convergence Factor ◽  
Grey Wolf Optimization ◽  
Mutation Strategy

Improved Grey Wolf Optimization Algorithm for Constrained Mechanical Design Problems

2016 ◽  
Vol 851 ◽  
pp. 553-558 ◽  
Author(s):  
Jian Chun Yang ◽  
Wen Long
Keyword(s):  
Optimization Algorithm ◽  
State Of The Art ◽  
Mechanical Design ◽  
Grey Wolf ◽  
Convergence Factor ◽  
Grey Wolf Optimization ◽  
Design Problems ◽  
Tournament Selection ◽  
Simulation Results

An improved grey wolf optimization (IGWO) algorithm is proposed for solving constrained mechanical design problems in this paper. In proposed IGWO algorithm, a novel nonlinearly update equation of convergence factor based on sines function is presented to balance the exploration ability and exploitation ability. The feasibility-based rules based on tournament selection was introduced to handle constrains. Simulation results and comparisons with other state-of-the-art algorithms using three constrained mechanical design problems are provided.

scholarly journals Grey Wolf Optimization algorithm with Discrete Hopfield Neural Network for 3 Satisfiability analysis

2021 ◽  
Vol 1821 (1) ◽  
pp. 012038
Author(s):  
Mohd. Asyraf Mansor ◽  
Mohd Shareduwan Mohd Kasihmuddin ◽  
Saratha Sathasivam
Keyword(s):  
Neural Network ◽  
Optimization Algorithm ◽  
Hopfield Neural Network ◽  
Grey Wolf ◽  
Grey Wolf Optimization
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