A new approach to generate pattern-efficient sets of non-dominated vectors for multi-objective optimization

DOI10.1016/j.ins.2020.04.040zbMath1460.90174OpenAlexW3022739433MaRDI QIDQ2023258

Fred Glover, Bogdana Stanojević

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.04.040

zbMATH Keywords

multiple objectivesefficient frontierdiversified representationspattern efficiency

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (1)

Non-dominated solutions for time series learning and forecasting. Generating models with a generic two-phase Pareto loca search with VND

Uses Software

• NBI
• MOEA/D
• jMetal

Cites Work

• Unnamed Item
• Unnamed Item
• Methods for multi-objective optimization: an analysis
• Nonlinear multiobjective optimization
• Non-convex multi-objective optimization
• Multi‐objective optimization using metaheuristics: non‐standard algorithms
• Multicriteria Optimization

This page was built for publication: A new approach to generate pattern-efficient sets of non-dominated vectors for multi-objective optimization