MOANA: Multi-objective ant nesting algorithm for optimization problems

This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimization problems (MOPs). MOANA incorporates adaptive mechanisms, such as deposition weight parameters, to balance explora...

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Veröffentlicht in:	Heliyon Jg. 11; H. 1; S. e40087
Hauptverfasser:	Rashed, Noor A., Ali, Yossra H., Rashid, Tarik A., Mirjalili, Seyedali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 15.01.2025 Elsevier
Schlagworte:	algorithms data collection decision making Multi-objective optimization mutation Pareto optimality Real-world problems Trade-off analysis decision-making challenges Pareto optimality Real-world problems Multi-objective optimization Trade-off analysis decision-making challenges
ISSN:	2405-8440, 2405-8440
Online-Zugang:	Volltext
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