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Accelerating Population-Based Search Heuristics by Adaptive Resource Allocation

Joachim Lepping 1 Panayotis Mertikopoulos 2 Denis Trystram 1, 3, 4 
1 MOAIS - PrograMming and scheduling design fOr Applications in Interactive Simulation
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
3 IUF - Institut Universitaire de France
4 UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
Abstract : no abstract
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01382302
Contributor : Panayotis Mertikopoulos Connect in order to contact the contributor
Submitted on : Sunday, October 16, 2016 - 3:29:22 PM
Last modification on : Sunday, June 26, 2022 - 5:02:45 AM

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  • HAL Id : hal-01382302, version 1

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UGA | CNRS | INRIA | INSMI | INRIA2 | TDS-MACS

Citation

Joachim Lepping, Panayotis Mertikopoulos, Denis Trystram. Accelerating Population-Based Search Heuristics by Adaptive Resource Allocation. GECCO '13: Proceedings of the 15th ACM Annual Conference on Genetic and Evolutionary Computation, 2013, Unknown, Unknown Region. pp.1165-1172. ⟨hal-01382302⟩

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