Biobjective Simulation Optimization on Integer Lattices Using the Epsilon-Constraint Method in a Retrospective Approximation Framework-Reference-Cited by-同舟云学术

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

Published:2020-05-12 Issue: Volume: Page:
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Cooper Kyle¹²^ORCID,Hunter Susan R.¹^ORCID,Nagaraj Kalyani³

Affiliation:

1. School of Industrial Engineering, Purdue University, West Lafayette, Indiana 47907;

2. Tata Consultancy Services, Milford, Ohio 45150;

3. School of Industrial Engineering & Management, Oklahoma State University, Stillwater, Oklahoma 74078

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference21 articles.

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3. Branke J, Zhang W (2015) A new myopic sequential sampling algorithm for multi-objective problems. Yilmaz L, Chan WKV, Moon I, Roeder TMK, Macal C, Rossetti MD, eds. Proc. 2015 Winter Simulation Conf. (IEEE, Piscataway, NJ), 3589–3598.

4. Branke J, Zhang W, Tao Y (2016) Multiobjective ranking and selection based on hypervolume. Roeder TMK, Frazier PI, Szechtman R, Zhou E, Huschka T, Chick SE, eds. Proc. 2016 Winter Simulation Conf. (IEEE, Piscataway, NJ), 859–870.

5. Cooper K, Hunter SR (2020) PyMOSO: Software for multi-objective simulation optimization with R-PERLE and R-MinRLE. INFORMS J. Comput., ePub ahead of print, April 16, https://doi.org/10.1287/ijoc.2019.0902.

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