loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rodrigo Lankaites Pinheiro 1 ; Dario Landa-Silva 2 ; Wasakorn Laesanklang 3 and Ademir Aparecido Constantino 4

Affiliations: 1 Webroster Ltd., School of Computer Science and The University of Nottingham, United Kingdom ; 2 School of Computer Science and The University of Nottingham, United Kingdom ; 3 Faculty of Science and Mahidol University, Thailand ; 4 Universidade Estadual de Maringá, Brazil

Keyword(s): Multi-criteria Decision Making, Goal Programming, Pareto Optimisation.

Abstract: Modern multiobjective algorithms can be computationally inefficient in producing good approximation sets for highly constrained many-objective problems. Such problems are common in real-world applications where decision-makers need to assess multiple conflicting objectives. Also, different instances of real-world problems often share similar fitness landscapes because key parts of the data are the same across these instances. We we propose a novel methodology that consists of solving one instance of a given problem scenario using computationally expensive multiobjective algorithms to obtain a good approximation set and then using Goal Programming with efficient single-objective algorithms to solve other instances of the same problem scenario. We propose three goal-based objective functions and show that on a real-world home healthcare planning problem the methodology can produce improved results in a shorter computation time.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.118.32.7

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pinheiro, R.; Landa-Silva, D.; Laesanklang, W. and Constantino, A. (2018). Using Goal Programming on Estimated Pareto Fronts to Solve Multiobjective Problems. In Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-285-1; ISSN 2184-4372, SciTePress, pages 132-143. DOI: 10.5220/0006718901320143

@conference{icores18,
author={Rodrigo Lankaites Pinheiro. and Dario Landa{-}Silva. and Wasakorn Laesanklang. and Ademir Aparecido Constantino.},
title={Using Goal Programming on Estimated Pareto Fronts to Solve Multiobjective Problems},
booktitle={Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2018},
pages={132-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006718901320143},
isbn={978-989-758-285-1},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Using Goal Programming on Estimated Pareto Fronts to Solve Multiobjective Problems
SN - 978-989-758-285-1
IS - 2184-4372
AU - Pinheiro, R.
AU - Landa-Silva, D.
AU - Laesanklang, W.
AU - Constantino, A.
PY - 2018
SP - 132
EP - 143
DO - 10.5220/0006718901320143
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic