Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]
PLoS OneChen K, Yuan X, Tan W.
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General two-level framework for demand-responsive transport optimization. [PDF]
Sci RepBozek A, Krzeszowski T, Sliwa T.
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A faster fully polynomial approximation scheme for the single-machine total tardiness problem
Lawler [E.L. Lawler, A fully polynomial approximation scheme for the total tardiness problem, Operations Research Letters 1 (1982) 207-208] proposed a fully polynomial approximation scheme for the single-machine total tardiness problem which runs in time
Koulamas, Christos
core
Fuzzy-based multi-objective scheduling for human-robot manufacturing systems. [PDF]
Sci RepDeng Y, Huang B, Lai S.
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Factors associated with HIV infection among infants born to mothers with HIV in Blantyre, Malawi: a mixed methods study. [PDF]
BMC Public HealthTsegula AW, Mwapasa V.
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A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]
Sci RepAshour M +3 more
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An event-driven hybrid rescheduling approach for integrated process planning and scheduling considering stochastic rework. [PDF]
Sci RepShi S +6 more
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Machine Learning Assisted Hybrid Cuckoo Search for Predictive Optimization in Renewable Energy Systems. [PDF]
F1000ResDalaf N, Abbas IT.
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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]
CureusDexter F, Fahy BG, Epstein RH.
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Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]
Sci ProgSun Z, Han W, Gao L, Zhu C, Lyu Q.
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