@Article{ChavesLoreSennRese:2016:HyMeCS,
author = "Chaves, A. A. and Lorena, Luiz Antonio Nogueira and Senne, E. L.
F. and Resende, M. G. C.",
affiliation = "{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual
Paulista (UNESP)} and Amazon.com, Mathematical Optimization and
Planning (MOP)",
title = "Hybrid method with CS and BRKGA applied to the minimization of
tool switches problem",
journal = "Computers \& Operations Research",
year = "2016",
volume = "67",
pages = "174--183",
keywords = "Clustering Search, Tool switches, BRKGA.",
abstract = "The minimization of tool switches problem (MTSP) seeks a sequence
to process a set of jobs so that the number of tool switches
required is minimized. The MTSP is well known to be NP-hard. This
paper presents a new hybrid heuristic based on the Biased Random
Key Genetic Algorithm (BRKGA) and the Clustering Search (CS). The
main idea of CS is to identify promising regions of the search
space by generating solutions with a metaheuristic, such as BRKGA,
and clustering them to be further explored with local search
heuristics. The distinctive feature of the proposed method is to
simplify this clustering process. Computational results for the
MTSP considering instances available in the literature are
presented to demonstrate the efficacy of the CS with BRKGA.",
doi = "10.1016/j.cor.2015.10.009",
url = "http://dx.doi.org/10.1016/j.cor.2015.10.009",
issn = "0305-0548",
label = "lattes: 7195702087655314 2 ChavesLoreSennRese:2015:HyMeCS",
language = "en",
targetfile = "1_chaves.pdf",
urlaccessdate = "27 abr. 2024"
}