Solving large numerical optimization problems in HPC with Python-Reference-Cited by-同舟云学术

Solving large numerical optimization problems in HPC with Python

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing - PyHPC '15
language:
Short-container-title:

Author:

Gómez-Iglesias Antonio

Publisher

ACM Press

Reference23 articles.

1. F.-A. Fortin, F.-M. De Rainville, M.-A. Gardner, M. Parizeau, and C. Gagné, "DEAP: Evolutionary algorithms made easy,"Journal of Machine Learning Research, vol. 13, pp. 2171--2175, jul 2012.

2. Y. Hold-Geoffroy, O. Gagnon, and M. Parizeau, "Once you SCOOP, no need to fork," inProceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, ser. XSEDE '14. New York, NY, USA: ACM, 2014, pp. 60:1--60:8. [Online]. Available: http://dx.doi.org/10.1145/2616498.2616565

3. "inspyred: Bio-inspired algorithms in Python," http://aarongarrett.github.io/inspyred/, 2015, [Online; accessed 22-Sep-2015].

4. S. Cahon, N. Melab, and E.-G. Talbi, "ParadisEO: A framework for the reusable design of parallel and distributed metaheuristics,"Journal of Heuristics, vol. 10, no. 3, pp. 357--380, May 2004. [Online]. Available: http://dx.doi.org/10.1023/B: HEUR.0000026900.92269.ec

5. B. Gasbaoui and B. Allaoua, "Ant colony optimization applied on combinatorial problem for optimal power flow solution," 2009.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parametric Optimization on HPC Clusters with Geneva;Computing and Software for Big Science;2023-04-21

2. Optimization of 3D Fusion Devices;Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale;2016-07-17

3. Using High Performance Computing for Conquering Big Data;Conquering Big Data with High Performance Computing;2016