What is this algorithm?
Single-objective optimization
Single-objective optimization
The Grey Wolf Optimizer (GWO) mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization.
Single-objective optimization
Single-objective optimization
Single-objective optimization
GWO has been designed to solve single-objective optimization problems. This algorithm has been implemented in a wide range of programming languages. You can download the source code at the bottom of this page.
Multi-objective optimization
Single-objective optimization
Multi-objective optimization
If you are interested in solving a multi-objective problem using GWO, you have to use this code.
Matlab GWO toolbox
Matlab GWO toolbox
Multi-objective optimization
A user-friendly interface to run GWO algorithm with minimum coding.
Improved GWO
Matlab GWO toolbox
Improved GWO
One of the best improvements of GWO called I-GWO (Credits to Dr. Mohammad H. Nadimi-Shahraki).
GWO in Different Programming Languages
