Support new natural inspired algorithm - Grey Wolf Optimizer (GWO)

Question

Support new natural inspired algorithm - Grey Wolf Optimizer (GWO)

adajani opened this issue 5 years ago · comments

Title:
Support new natural inspired algorithm - Grey Wolf Optimizer (GWO).

Objective:
To Support GWO algorithm in jMetalCPP Core.

Motivation:
Based on NFL theorem (no free lunch theorem). There is no meta-heuristic best suited for solving all optimization problems. So, NFL makes this field of study highly active. Hence motivate me to add GWO to the core algorithms in jMetalCPP framework.

Ahmed Dajani · Answer 1 · Sun Oct 13 2019 20:18:15 GMT+0800 (China Standard Time)

Kindly find the proposed algorithm on this pull-request: #14

Antonio J. Nebro · Answer 2 · Mon Oct 14 2019 21:52:32 GMT+0800 (China Standard Time)

Hi @adajani .

Thanks for your contribution. I accepted pull request #14, but after that there is a conflict with #15.

Antonio

Ahmed Dajani · Answer 3 · Tue Oct 15 2019 00:15:47 GMT+0800 (China Standard Time)

Hi @ajnebro

The conflict appears on "JMetalInc/Algorithm.h". I noticed
#15 has remove the JMEtalInc folder
https://github.com/E-Alharbi/jMetalCpp

Thanks