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.
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.