EMOSOR: evolutionary multiple objective optimization guided by interactive stochastic ordinal regression
DOI10.1016/j.cor.2019.04.008zbMath1458.90402OpenAlexW2935888086WikidataQ128087132 ScholiaQ128087132MaRDI QIDQ2003428
Miłosz Kadziński, Michał K. Tomczyk
Publication date: 8 July 2019
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2019.04.008
pairwise comparisonsactive learningmultiple objective optimizationpreference disaggregationinteractive evolutionary hybridsstochastic ordinal regression
Decision theory (91B06) Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Approximation methods and heuristics in mathematical programming (90C59)
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