Single-Machine Scheduling with Multi-Criteria and Due- Windows. [PDF]
Mohsin DA, Mohammed HAA.
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International audienceThis paper deals with a common due date parallel machines scheduling problem in which each job has a different tardiness penalty. The objective is to minimize the total weighted tardiness.
Tuong Nguyen, Huynh +2 more
core
Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand. [PDF]
Wu X.
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This paper introduces a general, formal treatment of dynamic constraints, i.e., constraints on the state changes that are allowed in a given state space.
Kate, Hans A. ten
core
A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]
Ashour M +3 more
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Percentages of Surgical Procedure Combinations That Were Performed Just Once or Twice at Florida Hospital and Ambulatory Surgery Centers During Each Quarter From 2010 Through 2024. [PDF]
Dexter F, Fahy BG, Epstein RH.
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A new perspective on Workload Control by measuring operating performances through an economic valorization. [PDF]
Mezzogori D, Romagnoli G, Zammori F.
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Approximation algorithms for minimizing the total weighted tardiness on a single machine
Given a single machine and a set of jobs with due dates, the classical NP-hard problem of scheduling to minimize total tardiness is a well-understood one. Lawler gave a fully polynomial-time approximation scheme (FPTAS) for it some 20 years ago.
Steiner, G., Kolliopoulos, S.G.
core
A two stage learning based knowledge driven evolutionary algorithm for energy efficient distributed hybrid flow shop scheduling problem with heterogeneous factories. [PDF]
Zhang ZQ, Bao HD, Xu YX, Qian B, Hu R.
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Two-layer evolutionary optimization problem for home healthcare pathways and scheduling under multi-center resource sharing. [PDF]
Shao X, Wu Z, Guo Q.
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