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Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem
Published 2014-01-01“…This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in the presence of fuzzy due date. …”
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22
Mathematical Model and Algorithm for the Reefer Mechanic Scheduling Problem at Seaports
Published 2017-01-01“…To minimize the sum of the total tardiness of all tasks and the total working distance of all mechanics, we formulate a mathematical model. …”
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23
Production Scheduling considering Outsourcing Options and Carrier Costs
Published 2020-01-01“…An in-house job incurs a stepwise penalty cost for tardiness, and an outsourced job incurs an outsourcing cost. …”
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24
A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory
Published 2013-01-01“…The proposed rule considers the uncertainty in the remaining cycle time and is aimed at simultaneous improvement of the average cycle time, cycle time standard deviation, the maximum lateness, and number of tardy jobs. Existing publications rarely discusse ways to optimize all of these at the same time. …”
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25
A PMBGA to Optimize the Selection of Rules for Job Shop Scheduling Based on the Giffler-Thompson Algorithm
Published 2012-01-01“…So in this paper, we aim at solving job shop scheduling problems with the total weighted tardiness objective. Several dispatching rules are adopted in the Giffler-Thompson algorithm for constructing active schedules. …”
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26
Modified artificial fish swarm algorithm to solve unrelated parallel machine scheduling problem under fuzzy environment
Published 2024-12-01“…Hence, a metaheuristic algorithm based on a modified artificial fish swarm algorithm (AFSA) is presented in this study to minimize the multi-objective makespan and total tardiness. Three modifications were made to the proposed algorithm. …”
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27
A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing Systems
Published 2019-01-01“…., makespan, mean flow time, and mean tardiness time. The proposed algorithm can decompose a multiobjective scheduling problem into a certain number of scalar subproblems and solves all the subproblems in a single run. …”
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28
A hybrid particle swarm optimization algorithm for single machine scheduling with sequence-dependent setup times and learning effects
Published 2023-06-01“…This paper deals with the single machine scheduling problem with sequence-dependent setup time and learning effect on processing time, where the objective is to minimize total earliness and tardiness of the jobs. A Mixed Integer Linear Programming (MILP) model capable of solving small-sized problems is proposed to formulate this problem. …”
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29
Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering
Published 2013-01-01“…On the upper level, the company manager aims to allocate the company's resources to multiple projects to achieve the lowest cost, which include resource costs and a tardiness penalty. On the lower level, each project manager attempts to schedule their resource-constrained project, with minimization of project duration as the main objective. …”
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Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics
Published 2025-01-01“…Despite the robust development in hyper-heuristic methodologies, our analysis indicates an under-representation of multi-objective optimization and a limited use of performance metrics beyond makespan and tardiness. We also identify potential areas for future research, such as expanding hyper-heuristic applications to underexplored industries and exploring less conventional performance metrics. …”
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31
Performance Evaluation of New Joint EDF-RM Scheduling Algorithm for Real Time Distributed System
Published 2014-01-01“…Results are achieved and evaluated in terms of Success Ratio (SR), Average CPU Utilization (ECU), Failure Ratio (FR), and Maximum Tardiness parameters. In the end, the results are compared with the existing (EDF, RM, and D_R_EDF) algorithms. …”
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32
L’illusion de la désillusion : Essai d’interprétation génétique de L’Éducation sentimentale
Published 2010-09-01“…“Excuse my tardiness”. With these words spoken sixteen years later Madame Arnoux justifies her unexpected visit in the penultimate chapter of the Éducation sentimentale. …”
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33
Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem
Published 2022-01-01“…., the SRJSSP with the maximum tardiness criterion and the SRJSSP with the makespan criterion. …”
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34
Nature-Inspired Metaheuristics for Two-Agent Scheduling with Due Date and Release Time
Published 2020-01-01“…The first agent tries to minimize the total completion time, while the second agent tries to minimize the number of tardy jobs. The two agents’ scheduling problem, an NP-hard problem, has a wide variety of applications ranging from the manufacturing industry to the cloud computing service provider. …”
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35
Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning
Published 2025-01-01“…Experimental results demonstrate that, in scenarios where multiple DTs exhibit diverse speed profiles, the proposed approach improves makespan by 16.9% and reduces tardiness by 76.2%, demonstrating both flexibility and superior performance. …”
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36
Saintes/Mediolanum, cité des Santons et Bordeaux/Burdigala, cité des Bituriges Vivisques : destins croisés
Published 2015-12-01Get full text
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37
Aerosol Filtration Testing of Fabrics for Development of Reusable Face Masks
Published 2021-05-01Get full text
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38
Detection of Mycoplasma spp. from snakes from five different families
Published 2025-01-01Get full text
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39
Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time
Published 2023-09-01“…After performing the experiments and comparing the algorithms with each other, the results show NRGA algorithm performs bether than NSGA-II.Originality/Value: In this paper, for solving a multi objective hybrid flow shop scheduling problem with lot-streamingm mathematical model with the aim of minimizing the makespan and total tardiness, the sequence-dependent setup time and the transportation time constraints between consecutive stages are considered. …”
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40
Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal
Published 2024-06-01“…In Nepal, the Department of Hydrology and Meteorological uses a numerical modeling approach to forecast the weather, which is tardy and requires high-end equipment to process the information, so a deep learning approach will be the best alternative. …”
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