Experimental Testing of Advanced Scatter Search Designs for Global Optimization of Multimodal Functions
By Manuel Laguna, Rafael Martí. 2005
232 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Fred W. Glover
- Junjie Li
- Zhenyue Ma
- Fei Kang
- Rafael Martí
- Manuel Laguna
- Marc-André Zöller
- Marco F. Huber
In Computational Theory and Mathematics
- Fred W. Glover
- Junjie Li
- Zhenyue Ma
- Fei Kang
- Rafael Martí
- Manuel Laguna
- Marc-André Zöller
- Marco F. Huber
Citations in the corpus
- Survey on Automated Machine Learning (2019, background): “Figure 17 shows the average results for all CASH algorithms on the one-dimensional Levy function (Laguna and Mart́ı, 2005).”
- Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions (2011, methodology): “[4,9,20,35,40,44,50,53,55,71,72], was used to test the performance of the proposed approach.”
- Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization (2007, methodology): “It uses the OptQuest Callable Library (OCL) implementation of Scatter Search [Laguna and Marti, 2000] to generate trial points, which are candidate starting points for a local NLP solver.”
- Scatter Search: Diseño Básico y Estrategias avanzadas (2002, background): “En Laguna y Martí [9] se han probado actualizaciones de este conjunto por diversidad, obteniendo resultados finales peores. g. Comparar las actualizaciones del conjunto de referencia estática y dinámica .”
- Principles of scatter search (2006, background): “Laguna and Martí (2000) propose an extension of this design that maintains a list of the ''best generators''.”