$$\beta $$ -Robustness Approach for Fuzzy Multi-objective Problems

DOI10.1007/978-3-319-40581-0_19zbMath1455.90157OpenAlexW2504535718MaRDI QIDQ5117211

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Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_19

zbMATH Keywords

multi-objective optimizationrobustnessevolutionary algorithmstriangular fuzzy numbersVRP

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (1)

Robustness-based approach for fuzzy multi-objective problems

Uses Software

• ParadisEO-MOEO
• VRP

Cites Work

• Minmax robustness for multi-objective optimization problems
• Min-max and min-max regret versions of combinatorial optimization problems: A survey
• Choosing robust solutions in discrete optimization problems with fuzzy costs
• Fuzzy sets as a basis for a theory of possibility
• The Vehicle Routing Problem
• Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
• Heuristic Approaches for the Robust Vehicle Routing Problem
• A CLASS OF FUZZY MEASURES BASED ON TRIANGULAR NORMS A general framework for the combination of uncertain information
• New Pareto Approach for Ranking Triangular Fuzzy Numbers
• Evolutionary Multi-Criterion Optimization
• Unnamed Item

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