Algorithm 49. An algorithm for solving the machine sequencing problem
A. Adrabiński, J. Grabowski (1977)
Applicationes Mathematicae
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A. Adrabiński, J. Grabowski (1977)
Applicationes Mathematicae
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Peng Wuliang, Huang Min, Hao Yongping (2014)
RAIRO - Operations Research - Recherche Opérationnelle
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Many real-world scheduling problems can be modeled as Multi-mode Resource Constrained Project Scheduling Problems (MRCPSP). However, the MRCPSP is a strong NP-hard problem and very difficult to be solved. The purpose of this research is to investigate a more efficient alternative based on ant algorithm to solve MRCPSP. To enhance the generality along with efficiency of the algorithm, the rule pool is designed to manage numerous priority rules for MRCPSP. Each ant is provided with an...
Jatinder N. D. Gupta (1976)
RAIRO - Operations Research - Recherche Opérationnelle
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Krystyna Jerzykiewicz (1970)
Applicationes Mathematicae
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Jacek Błażewicz, Paolo Dell'Olmo, Maciej Drozdowski (2002)
RAIRO - Operations Research - Recherche Opérationnelle
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In this work scheduling multiprocessor tasks on two parallel identical processors is considered. Multiprocessor tasks can be executed by more than one processor at the same moment of time. We analyze scheduling unit execution time and preemptable tasks to minimize schedule length and maximum lateness. Cases with ready times, due-dates and precedence constraints are discussed.
J. Kucharczyk (1972)
Applicationes Mathematicae
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S. Lewanowicz (1974)
Applicationes Mathematicae
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J. Kucharczyk (1973)
Applicationes Mathematicae
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A. Adrabiński (1976)
Applicationes Mathematicae
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F. Pankowski (1974)
Applicationes Mathematicae
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Aleksandar B. Samardžić, Dušan Starčević, Milan Tuba (2006)
The Yugoslav Journal of Operations Research
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Tatjana Timotijević (2001)
Kragujevac Journal of Mathematics
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