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

Open adajani opened this issue 6 years ago • 3 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.

Oct 12 '19 09:10 adajani

Kindly find the proposed algorithm on this pull-request: https://github.com/jMetal/jMetalCpp/pull/14

Oct 13 '19 12:10 adajani

Hi @adajani .

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

Antonio

Oct 14 '19 13:10 ajnebro

Hi @ajnebro

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

Thanks

Oct 14 '19 16:10 adajani