Title:
Support new natural inspired algorithm - Moth-Flame Optimization Algorithm (MFO)
Objective:
To Support MFO algorithm in jMetalCPP Core.
Motivation:
Moth-Flame Optimization (MFO) is a novel nature-inspired optimization paradigm. The main inspiration of this optimizer is the navigation method of moths in nature called transverse orientation. Moths fly in night by maintaining a fixed angle with respect to the moon, a very effective mechanism for travelling in a straight line for long distances.
Title: Support new natural inspired algorithm - Moth-Flame Optimization Algorithm (MFO)
Objective: To Support MFO algorithm in jMetalCPP Core.
Motivation: Moth-Flame Optimization (MFO) is a novel nature-inspired optimization paradigm. The main inspiration of this optimizer is the navigation method of moths in nature called transverse orientation. Moths fly in night by maintaining a fixed angle with respect to the moon, a very effective mechanism for travelling in a straight line for long distances.
Source: https://www.sciencedirect.com/science/article/abs/pii/S0950705115002580