Dynamic Interval Scheduling for Multiple Machines

Algorithms and Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-13075-0_19 ◽

2014 ◽

pp. 235-246

Author(s):

Alexander Gavruskin ◽

Bakhadyr Khoussainov ◽

Mikhail Kokho ◽

Jiamou Liu

Keyword(s):

Interval Scheduling ◽

Multiple Machines

A FAST ALGORITHM FOR THE WEIGHTED INTERVAL SCHEDULING PROBLEM

i-manager’s Journal on Software Engineering ◽

10.26634/jse.11.3.13633 ◽

2017 ◽

Vol 11 (3) ◽

pp. 40

Author(s):

SIYAMBALAPITIYA R ◽

Keyword(s):

Fast Algorithm ◽

Scheduling Problem ◽

Interval Scheduling

Algorithms for Minimizing Resource Consumption Over Multiple Machines With a Common Due Window

IEEE Access ◽

10.1109/access.2019.2956551 ◽

2019 ◽

Vol 7 ◽

pp. 172136-172151

Author(s):

Jen-Ya Wang

Keyword(s):

Resource Consumption ◽

Due Window ◽

Multiple Machines

Interval scheduling maximizing minimum coverage

Discrete Applied Mathematics ◽

10.1016/j.dam.2016.08.021 ◽

2017 ◽

Vol 225 ◽

pp. 130-135 ◽

Cited By ~ 1

Author(s):

Veli Mäkinen ◽

Valeria Staneva ◽

Alexandru I. Tomescu ◽

Daniel Valenzuela ◽

Sebastian Wilzbach

Keyword(s):

Interval Scheduling

Exact and Approximation Algorithms for the Tactical Fixed Interval Scheduling Problem

Operations Research ◽

10.1287/opre.45.4.624 ◽

1997 ◽

Vol 45 (4) ◽

pp. 624-638 ◽

Cited By ~ 35

Author(s):

Leo G. Kroon ◽

Marc Salomon ◽

Luk N. Van Wassenhove

Keyword(s):

Approximation Algorithms ◽

Fixed Interval ◽

Scheduling Problem ◽

Interval Scheduling ◽

Fixed Interval Scheduling

A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems

Applied Energy ◽

10.1016/j.apenergy.2021.117763 ◽

2021 ◽

Vol 304 ◽

pp. 117763

Author(s):

Sumanth Yamujala ◽

Priyanka Kushwaha ◽

Anjali Jain ◽

Rohit Bhakar ◽

Jianzhong Wu ◽

...

Keyword(s):

Power Systems ◽

Low Carbon ◽

Operational Flexibility ◽

Interval Scheduling

Dynamic algorithms for monotonic interval scheduling problem

Theoretical Computer Science ◽

10.1016/j.tcs.2014.09.046 ◽

2015 ◽

Vol 562 ◽

pp. 227-242 ◽

Cited By ~ 1

Author(s):

Alexander Gavruskin ◽

Bakhadyr Khoussainov ◽

Mikhail Kokho ◽

Jiamou Liu

Keyword(s):

Scheduling Problem ◽

Interval Scheduling ◽

Dynamic Algorithms

A review of: “COST IMPROVEMENT, WORK SAMPLING, AND SHORT INTERVAL SCHEDULING”by Wallace J. Richardson, Reston Publishing Company, Inc., Reston, Virginia, 1976, 228 pp., $12.95 list.

The Engineering Economist ◽

10.1080/00137917708965171 ◽

1977 ◽

Vol 22 (2) ◽

pp. 149-149

Author(s):

Gene R. Simons

Keyword(s):

Short Interval ◽

Publishing Company ◽

Interval Scheduling ◽

Work Sampling

Petri net simulation of manufacturing systems considering multiple machines, operators, and maintenance for a product-mix

Proceedings of ISSM2000. Ninth International Symposium on Semiconductor Manufacturing (IEEE Cat. No.00CH37130) ◽

10.1109/issm.2000.993682 ◽

2002 ◽

Author(s):

S. Arima ◽

K. Saito

Keyword(s):

Petri Net ◽

Manufacturing Systems ◽

Product Mix ◽

Multiple Machines

An Efficient Topology Control and Dynamic Interval Scheduling Scheme for 6LoWPAN

Computational Science and Its Applications – ICCSA 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02454-2_66 ◽

2009 ◽

pp. 841-852 ◽

Cited By ~ 1

Author(s):

Sun-Min Hwang ◽

Eui-Nam Huh

Keyword(s):

Topology Control ◽

Interval Scheduling ◽

Scheduling Scheme

Single binding of data and model parallelisms to parallelize convolutional neural networks through multiple machines

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-171329 ◽

2018 ◽

Vol 35 (5) ◽

pp. 5449-5466

Author(s):

Hai Jin ◽

Saqib Qamar ◽

Ran Zheng ◽

Parvez Ahmad

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Multiple Machines