Skip to content

MNSWOA: A nondominated-sorting-based whale optimization algorithm for feature selection.

License

Notifications You must be signed in to change notification settings

andali89/mnswoa_fs

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MNSWOA

Introduction

This is an implementation of a multi-objective optimization algorithm called modified nondominated-sorting-based whale optimization algorithm (MNSWOA) for key quality characteristic identification (feature selection) in production processes . The optimization algorithm adapts the single objective whale optimization algorithm (WOA) into the multi-objective scenario with several new components, i.e., a modified non-dominated sorting approach, a uniform reference solution selection strategy, and mutation operations. For a detailed description of the method please refer to

Li, A.-D.*, & He, Z. (2020). Multiobjective feature selection for key quality characteristic identification in production processes using a nondominated-sorting-based whale optimization algorithm. Computers & Industrial Engineering, 149, 106852. doi:10.1016/j.cie.2020.106852 [download the bib file] [download the PDF]

Usage

  • To start with this package, just open the Main.m file with Matlab and you will find out how to use it.
  • This package is built based on the Weka, so JAVA is required in your system.

My Homepage

Visit my Homepage for more introduction about my researches.

Notes

The source code is established based on the original code of whale optimization algorithm (WOA) proposed by Prof. Seyedali Mirjalili.

Releases

No releases published

Packages

No packages published