# SDLSO

**Repository Path**: mmmyq/SDLSO

## Basic Information

- **Project Name**: SDLSO
- **Description**: The source code of SDLSO
- **Primary Language**: C++
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2017-03-19
- **Last Updated**: 2023-05-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

#SDLSO
This directory contains the main code of the proposed optimizer in the following paper:

Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, and Jun Zhang. "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High Dimensional Optimization", IEEE Transactions on Cybernetics, accepted, 2020.

Two versions of implementation are provided: C++ and Python.

For C++ version, before compiling and runing the code, the following notice should be paid attention to:

1) In the code, the random number generator in "boost" library is utilized. The used version of "boost" is "boost_1_46_1".
   Thus before compilng this code, please make sure that your computer have already installed this library.

2) The code is implemented on Ubuntu system. Generally, it can be adapted to any Linux system.

3) The main parameter settings are listed in "Self_Define_Functions.h"; There is no other parameter needed to set. So, after compiling, just directly run the executable file.

4) It is better to compile the code using "makefile". If you compile the code in some IDE, you should make sure the CEC'2010 benchmark set is contained in the project.



It should be mentioned that this code is only for academic use and if you use this code, please kindly cite the following paper:

Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, and Jun Zhang. "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High Dimensional Optimization", IEEE Transactions on Cybernetics, accepted, 2020.

if you have any question, please contact Prof. Wei-Neng Chen(cwnraul634@aliyun.com) or Dr. Qiang Yang (mmmyq@126.com)

If you cannot understand Chinese, you can click the "English" button in the right bottom of this page (简 体 / 繁 體 / English) to transform this page into English Version.