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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
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