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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ژورنال

عنوان ژورنال: Journal of Industrial and Management Optimization

سال: 2023

ISSN: ['1547-5816', '1553-166X']

DOI: https://doi.org/10.3934/jimo.2021192