MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm

DOI10.1007/S10898-016-0415-7zbMath1369.90161OpenAlexW2298562831MaRDI QIDQ524909

Yong-Cai Geng, Sumit K. Garg

Publication date: 27 April 2017

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10016/33535

zbMATH Keywords

neural networksestimation of distribution algorithmsmulti-objective optimization problemsgrowing neural gasmodel-building problem

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

Estimation distribution algorithms on constrained optimization problems ⋮ A stopping criterion for multi-objective optimization evolutionary algorithms ⋮ Domination landscape in evolutionary algorithms and its applications

Uses Software

• PISA
• MOPED
• PAES
• SPEA2
• RM-MEDA
• MONEDA
• HypE
• OProfile
• weightedHypervolume

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