Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
G. Schryen, European Journal of Operational Research 287 (2020) 1–18.
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European Journal of Operational Research
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287
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1
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Schryen G. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research. 2020;287(1):1-18.
Schryen, G. (2020). Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research, 287(1), 1–18.
@article{Schryen_2020, title={Parallel computational optimization in operations research: A new integrative framework, literature review and research directions}, volume={287}, number={1}, journal={European Journal of Operational Research}, publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }
Schryen, Guido. “Parallel Computational Optimization in Operations Research: A New Integrative Framework, Literature Review and Research Directions.” European Journal of Operational Research 287, no. 1 (2020): 1–18.
G. Schryen, “Parallel computational optimization in operations research: A new integrative framework, literature review and research directions,” European Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.
Schryen, Guido. “Parallel Computational Optimization in Operations Research: A New Integrative Framework, Literature Review and Research Directions.” European Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.
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