@Article{CostaSalasMaBeOlChLo:2015:ClSeVa,
author = "Costa Salas, Yasel L. and Mart{\'{\i}}nez P{\'e}rez, Carlos A.
and Bello, Rafael and Oliveira, Alexandre C. and Chaves, Antonio
A. and Lorena, Luiz Antonio Nogueira",
affiliation = "{Universidad de Manizales} and {Universidad Central “Marta Abreu”
de Las Villas} and {Universidad Central “Marta Abreu” de Las
Villas} and {Universidade Federal do Maranh{\~a}o (UFMA)} and
{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Clustering search and variable mesh algorithms for continuous
optimization",
journal = "Expert Systems with Applications",
year = "2015",
volume = "42",
number = "2",
pages = "789--795",
month = "Feb.",
keywords = "Continuous function optimization, Hybrid methods.",
abstract = "The hybridization of population-based meta-heuristics and local
search strategies is an effective algorithmic proposal for solving
complex continuous optimization problems. Such hybridization
becomes much more effective when the local search heuristics are
applied in the most promising areas of the solution space. This
paper presents a hybrid method based on Clustering Search (CS) to
solve continuous optimization problems. The CS divides the search
space in clusters, which are composed of solutions generated by a
population meta-heuristic, called Variable Mesh Optimization. Each
cluster is explored further with local search procedures.
Computational results considering a benchmark of multimodal
continuous functions are presented.",
doi = "10.1016/j.eswa.2014.08.040",
url = "http://dx.doi.org/10.1016/j.eswa.2014.08.040",
issn = "0957-4174",
language = "en",
urlaccessdate = "27 abr. 2024"
}