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Support new natural inspired algorithm - Grey Wolf Optimizer (GWO) #13

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adajani opened this issue Oct 12, 2019 · 3 comments
Open

Support new natural inspired algorithm - Grey Wolf Optimizer (GWO) #13

adajani opened this issue Oct 12, 2019 · 3 comments

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@adajani
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adajani commented Oct 12, 2019

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.
@adajani
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adajani commented Oct 13, 2019 •
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Kindly find the proposed algorithm on this pull-request: #14

@ajnebro
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ajnebro commented Oct 14, 2019

Hi @adajani .

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

Antonio

@adajani
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adajani commented Oct 14, 2019

Hi @ajnebro

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

Thanks

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@ajnebro @adajani