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Journal article Open Access Scopus Source The journal / series is indexed in Scopus (SCImago list). The article itself has not been verified. 0 Citations Quartil Q4

A new Matrix Form Genetic Encoding for Balanced, Compact and Connected Sectorization through NSGA-II

Ferreira, JS , Rodrigues, AM , Ozturk, EG
ISLA — Instituto Politécnico de Gestão e Tecnologia
International Journal of Multicriteria Decision Making, 2023
DOI: 10.1504/ijmcdm.2023.10058115

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Abstract
Sectorisation refers to dividing a whole into smaller parts, the sectors, to facilitate an activity or achieve some goals.The paper proposes a new matrix form genetic encoding system, called matrix form binary grouping (MFBG), specifically designed for sectorisation and related problems.In MFBG representation, the columns and rows represent sectors and nodes, respectively.As a solution procedure, we followed NSGA-II by contemplating adapted measures for three commonly used criteria (equilibrium, compactness, contiguity) for sectorisation problems.The performance of the MFBG within the NSGA-II is tested from two perspectives: 1) through several experiments on the set of instances;

Keywords

#Sectorization #genetic encoding #NSGA-II #Multi-objective optimization #compactness #contiguity #equilibrium #multi-criteria decision making #Encoding (memory) #Matrix (chemical analysis)

Bibliographic Details

Publication Type Journal article
Publication Year 2023
Journal / Conference / Work International Journal of Multicriteria Decision Making
ISSN 2040-106X
Quartile (SCImago) Q4
Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

A
Ana Maria Moreira Rodrigues
anamaria@iscap.ipp.pt ID: 9318-3841-0F19
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