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RESEARCH PRODUCT
IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization
Mariano LuqueAna Belen RuizKaisa MiettinenRubén Saboridosubject
Mathematical optimization021103 operations researchOptimization problemComputer sciencemieltymykset0211 other engineering and technologiesReservation02 engineering and technologyInterval (mathematics)interactive methodsMulti-objective optimizationmonitavoiteoptimointievolutionary multi-objective optimization0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingregion of interestreference pointdescription
We propose a new interactive evolutionary multiobjective optimization method, IRA-EMO. At each iteration, the decision maker (DM) expresses her/his preferences as an interesting interval for objective function values. The DM also specifies the number of representative Pareto optimal solutions in these intervals referred to as regions of interest one wants to study. Finally, a real-life engineering three-objective optimization problem is used to demonstrate how IRA-EMO works in practice for finding the most preferred solution. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-01 |