Single-machine Pareto-scheduling with multiple weighting vectors for minimizing the total weighted late works
نویسندگان
چکیده
<p style='text-indent:20px;'>In this paper, we study the single-machine Pareto-scheduling of jobs with multiple weighting vectors for minimizing total weighted late works. Each vector has its corresponding work. The goal problem is to find Pareto-frontier works vectors. When number arbitrary, it implied in literature that unary NP-hard. Then concentrate on our research under assumption a constant. For problem, present dynamic programming algorithm running pseudo-polynomial time and fully polynomial-time approximation scheme (FPTAS).</p>
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1Laboratory of Algorithms and Technologies for Networks Analysis National Research University Higher School of Economics 136 Rodionova street, Niznhy Novgorod 603093, Russia 2Department of Industrial and Systems Engineering, University of Florida 303 Weil Hall, Gainesville, FL, 32611, USA 3Department of Operations Management & Operations Research, University of Groningen Nettelbosje 2, 9747 AE ...
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ژورنال
عنوان ژورنال: Journal of Industrial and Management Optimization
سال: 2023
ISSN: ['1547-5816', '1553-166X']
DOI: https://doi.org/10.3934/jimo.2021192