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• W2130894872 abstract "The conventional unconstrained binary quadratic programming (UBQP) problem is known to be a unified modeling and solution framework for many combinatorial optimization problems. This paper extends the single-objective UBQP to the multiobjective case (mUBQP) where multiple objectives are to be optimized simultaneously. We propose a hybrid metaheuristic which combines an elitist evolutionary multiobjective optimization algorithm and a state-of-the-art single-objective tabu search procedure by using an achievement scalarizing function. Finally, we define a formal model to generate mUBQP instances and validate the performance of the proposed approach in obtaining competitive results on large-size mUBQP instances with two and three objectives." @default.
• W2130894872 created "2016-06-24" @default.
• W2130894872 creator A5004181293 @default.
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• W2130894872 date "2014-03-01" @default.
• W2130894872 modified "2023-10-06" @default.
• W2130894872 title "A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming" @default.
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• W2130894872 doi "https://doi.org/10.1016/j.asoc.2013.11.008" @default.
• W2130894872 hasPublicationYear "2014" @default.
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