Biobjective Simulation Optimization on Integer Lattices Using the Epsilon-Constraint Method in a Retrospective Approximation Framework

DOI10.1287/ijoc.2019.0918OpenAlexW3024007786MaRDI QIDQ5148193

Kalyani Nagaraj, Susan R. Hunter, Kyle Cooper

Publication date: 1 February 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2019.0918

zbMATH Keywords

epsilon-constraintmultiobjective simulation optimizationretrospective approximation

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Related Items (2)

Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events ⋮ PyMOSO: Software for Multiobjective Simulation Optimization with R-PERLE and R-MinRLE

Uses Software

• COMPASS
• SimOpt
• R-SPLINE
• PyMOSO

Cites Work

• Unnamed Item
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• Introduction to Derivative-Free Optimization
• Lectures on Stochastic Programming
• Derivative-Free and Blackbox Optimization
• Industrial strength COMPASS
• Integer-Ordered Simulation Optimization using R-SPLINE
• Optimal Computing Budget Allocation to Select the Nondominated Systems—A Large Deviations Perspective
• A Derivative-Free Trust-Region Method for Biobjective Optimization
• PyMOSO: Software for Multiobjective Simulation Optimization with R-PERLE and R-MinRLE
• A Simulation-Based Optimization Framework for Urban Transportation Problems
• Derivative-free optimization methods
• Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation

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