Meta goal programing approach for solving multi-criteria de Novo programing problem

Zheng Yun Zhuang, Amine Hocine

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper explores the potential use of the meta-goal programing approach (meta-GP) for solving multi-criteria de Novo programing problems. Methodologically, the objectives of the de Novo programing problem are converted into meta-goals during formulation, following the meta-GP technique proposed by Rodriguez-Uría, Caballero, Ruiz, and Romero (2002), to arrive at the most satisfactory decision in the multi-objective decision-making context. This approach is shown superior to the conventional ‘multi-criteria solution procedure’ for the de Novo programing problem, in that it provides decision-makers with more flexibility in expressing their preferences, by merging the original explicit goals as meta-goals. Finally, the application of the proposed model to a decision case in identifying the best plan for the exploitation of wind energy sourcing is provided, illustrating the effectiveness of the proposed novel solution approach.

Original languageEnglish
Pages (from-to)228-238
Number of pages11
JournalEuropean Journal of Operational Research
Volume265
Issue number1
DOIs
Publication statusPublished - Feb 16 2018

Fingerprint

Multi-criteria
Merging
Wind power
Decision making
Multi-objective Decision Making
Wind Energy
Exploitation
Flexibility
Formulation
Model

Keywords

  • de Novo programing
  • Meta-goal programing
  • Multi-criteria decision-making
  • Renewable energy planning

ASJC Scopus subject areas

  • Modelling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

Meta goal programing approach for solving multi-criteria de Novo programing problem. / Zhuang, Zheng Yun; Hocine, Amine.

In: European Journal of Operational Research, Vol. 265, No. 1, 16.02.2018, p. 228-238.

Research output: Contribution to journalArticle

@article{2423cafeba604511a4c88e2fe84f88a0,
title = "Meta goal programing approach for solving multi-criteria de Novo programing problem",
abstract = "This paper explores the potential use of the meta-goal programing approach (meta-GP) for solving multi-criteria de Novo programing problems. Methodologically, the objectives of the de Novo programing problem are converted into meta-goals during formulation, following the meta-GP technique proposed by Rodriguez-Ur{\'i}a, Caballero, Ruiz, and Romero (2002), to arrive at the most satisfactory decision in the multi-objective decision-making context. This approach is shown superior to the conventional ‘multi-criteria solution procedure’ for the de Novo programing problem, in that it provides decision-makers with more flexibility in expressing their preferences, by merging the original explicit goals as meta-goals. Finally, the application of the proposed model to a decision case in identifying the best plan for the exploitation of wind energy sourcing is provided, illustrating the effectiveness of the proposed novel solution approach.",
keywords = "de Novo programing, Meta-goal programing, Multi-criteria decision-making, Renewable energy planning",
author = "Zhuang, {Zheng Yun} and Amine Hocine",
year = "2018",
month = "2",
day = "16",
doi = "10.1016/j.ejor.2017.07.035",
language = "English",
volume = "265",
pages = "228--238",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Meta goal programing approach for solving multi-criteria de Novo programing problem

AU - Zhuang, Zheng Yun

AU - Hocine, Amine

PY - 2018/2/16

Y1 - 2018/2/16

N2 - This paper explores the potential use of the meta-goal programing approach (meta-GP) for solving multi-criteria de Novo programing problems. Methodologically, the objectives of the de Novo programing problem are converted into meta-goals during formulation, following the meta-GP technique proposed by Rodriguez-Uría, Caballero, Ruiz, and Romero (2002), to arrive at the most satisfactory decision in the multi-objective decision-making context. This approach is shown superior to the conventional ‘multi-criteria solution procedure’ for the de Novo programing problem, in that it provides decision-makers with more flexibility in expressing their preferences, by merging the original explicit goals as meta-goals. Finally, the application of the proposed model to a decision case in identifying the best plan for the exploitation of wind energy sourcing is provided, illustrating the effectiveness of the proposed novel solution approach.

AB - This paper explores the potential use of the meta-goal programing approach (meta-GP) for solving multi-criteria de Novo programing problems. Methodologically, the objectives of the de Novo programing problem are converted into meta-goals during formulation, following the meta-GP technique proposed by Rodriguez-Uría, Caballero, Ruiz, and Romero (2002), to arrive at the most satisfactory decision in the multi-objective decision-making context. This approach is shown superior to the conventional ‘multi-criteria solution procedure’ for the de Novo programing problem, in that it provides decision-makers with more flexibility in expressing their preferences, by merging the original explicit goals as meta-goals. Finally, the application of the proposed model to a decision case in identifying the best plan for the exploitation of wind energy sourcing is provided, illustrating the effectiveness of the proposed novel solution approach.

KW - de Novo programing

KW - Meta-goal programing

KW - Multi-criteria decision-making

KW - Renewable energy planning

UR - http://www.scopus.com/inward/record.url?scp=85026303319&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85026303319&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2017.07.035

DO - 10.1016/j.ejor.2017.07.035

M3 - Article

AN - SCOPUS:85026303319

VL - 265

SP - 228

EP - 238

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -