The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Rui Wang, Robin C. Purshouse, Ioannis Giagkiozis and Peter J. Fleming

European Journal of Operational Research, 2015, vol. 243, issue 2, 442-453

Abstract: Various preference-based multi-objective evolutionary algorithms have been developed to help a decision-maker search for his/her preferred solutions to multi-objective problems. In most of the existing approaches the decision-maker preferences are formulated either by mathematical expressions such as the utility function or simply by numerical values such as aspiration levels and weights. However, in some sense a decision-maker may find it easier to specify preferences visually by drawing rather than using numbers. This paper introduces such a method, namely, the brushing technique. Using this technique the decision-maker can specify his/her preferences easily by drawing in the objective space. Combining the brushing technique with one existing algorithm PICEA-g, we present a novel approach named iPICEA-g for an interactive decision-making. The performance of iPICEA-g is tested on a set of benchmark problems and is shown to be good.

Keywords: Preference articulation; Decision making; Multi-objective optimization; Evolutionary algorithms (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:243:y:2015:i:2:p:442-453

DOI: 10.1016/j.ejor.2014.10.056

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