Preference Incorporation into Evolutionary Multiobjective Optimization Using a Multi-Criteria Evaluation Method

Cruz-Reyes, Laura; Fernández, Eduardo; Gómez, Consuelo; Sánchez, Patricia

doi:10.1007/978-3-319-05170-3_37

Cited by 4 publications

(2 citation statements)

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“…Cruz-Reyes et al introduced the Hybrid-MultiCriteria Sorting Genetic Algorithm (H-MCSGA) [106], in which the selective pressure based on dominance is strengthened by assigning solutions into ordered categories. A reference set of solutions belonging to different categories is kept and updated to capture the preferences.…”

Section: Solution Comparison-based Approachesmentioning

confidence: 99%

An Ontology of Preference-Based Multiobjective Metaheuristics

Li,

Yevseyeva,

Basto-Fernandes

et al. 2016

Preprint

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User preference integration is of great importance in multi-objective optimization, in particular in many objective optimization. Preferences have long been considered in traditional multicriteria decision making (MCDM) which is based on mathematical programming. Recently, it is integrated in multi-objective metaheuristics (MOMH), resulting in focus on preferred parts of the Pareto front instead of the whole Pareto front. The number of publications on preference-based multiobjective metaheuristics has increased rapidly over the past decades. There already exist various preference handling methods and MOMH methods, which have been combined in diverse ways. This article proposes to use the Web Ontology Language (OWL) to model and systematize the results developed in this field. A review of the existing work is provided, based on which an ontology is built and instantiated with state-of-the-art results. The OWL ontology is made public and open to future extension. Moreover, the usage of the ontology is exemplified for different usecases, including querying for methods that match an engineering application, bibliometric analysis, checking existence of combinations of preference models and MOMH techniques, and discovering opportunities for new research and open research questions.

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Section: Solution Comparison-based Approachesmentioning

confidence: 99%

An Ontology of Preference-Based Multiobjective Metaheuristics

Li,

Yevseyeva,

Basto-Fernandes

et al. 2016

Preprint

View full text Add to dashboard Cite

show abstract

“…This method addresses the preferences incorporation a priori into a MOEA to characterize the RoI by a multicriteria sorting method called THESEUS (Fernandez et al, 2011 (Deb et al, 2002). A first interactive version of the H-MCSGA is presented in (Cruz-Reyes et al, 2014), where the reference set is updated, only once, while exploration process. Consequently, the DM's preferences are updated.…”

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confidence: 99%