Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems-Reference-Cited by-同舟云学术

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Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems

Published:2020 Issue: Volume: Page:171-177
ISSN:0302-9743
Container-title:Search-Based Software Engineering
language:
Short-container-title:

Author:

Fredericks Erik M.,Moore Jared M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-59762-7_12

Reference13 articles.

1. Arcuri, A., Briand, L.: A practical guide for using statistical tests to assess randomized algorithms in software engineering. In: Proceedings of the 33rd International Conference on Software Engineering, ICSE 2011, pp. 1–10. ACM (2011)

2. Bertsimas, D., Thiele, A.: Robust and data-driven optimization: modern decision making under uncertainty. In: Models, Methods, and Applications for Innovative Decision Making, pp. 95–122. INFORMS (2006)

3. Lecture Notes in Computer Science;N Bredeche,2010

4. Calinescu, R., Grunske, L., Kwiatkowska, M., Mirandola, R., Tamburrelli, G.: Dynamic QoS management and optimization in service-based systems. IEEE Trans. Softw. Eng. 37(3), 387–409 (2010)

5. Lezama, F., Soares, J., Vale, Z.: A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids. Energy Inform. 1(1), 35 (2018)

Cited by 1 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. Towards run-time search for real-world multi-agent systems;Proceedings of the 15th Workshop on Search-Based Software Testing;2022-05-09

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