Meta goal programing approach for solving multi-criteria de Novo programing problemAuthor-Name: Zhuang, Zheng-Yun

Amine Hocine

European Journal of Operational Research, 2018, vol. 265, issue 1, 228-238

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.

Keywords: Meta-goal programing; de Novo programing; Multi-criteria decision-making; Renewable energy planning (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:265:y:2018:i:1:p:228-238

DOI: 10.1016/j.ejor.2017.07.035

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