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 language | English |
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Pages (from-to) | 228-238 |
Number of pages | 11 |
Journal | European Journal of Operational Research |
Volume | 265 |
Issue number | 1 |
DOIs | |
Publication status | Published - 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