How to know it is the one? Selecting the most suitable solution from the Pareto optimal set. Application to sectorization

• Tipo: Artigo em Revista Científica Internacional
• Data: 2024

Autores

Öztürk, EG (Autor) Outra; Rodrigues, AM (Autor) Outra; José Soeiro Ferreira (Autor) Outra; Oliveira, CT (Autor) Outra

Revista

Título: Operations Research and Decisions

Vol. 34

Páginas: 211-232

ISSN: 2081-8858

Editora: Wroclaw University of Science and Technology

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-010-4DS

DOI: 10.37190/ord240111

Abstract (EN): Multi -objective optimization (MOO) considers several objectives to find a feasible set of solutions. Selecting a solution from Pareto frontier (PF) solutions requires further effort. This work proposes a new classification procedure that fits into the analytic hierarchy Process (AHP) to pick the best solution. The method classifies PF solutions using pairwise comparison matrices for each objective. Sectorization is the problem of splitting a region into smaller sectors based on multiple objectives. The efficacy of the proposed method is tested in such problems using our instances and real data from a Portuguese delivery company. A non -dominated sorting genetic algorithm (NSGA-II) is used to obtain PF solutions based on three objectives. The proposed method rapidly selects an appropriate solution. The method was assessed by comparing it with a method based on a weighted composite single -objective function.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 22