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

Zheng Yun Zhuang, Amine Hocine

Research output: Contribution to journalArticlepeer-review

8 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

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

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