@InProceedings{BarbosaSenn:2019:HeOrRa,
author = "Barbosa, Eduardo Batista de Moraes and Senne, Edson L. F.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Estadual Paulista (UNESP)}",
title = "A heuristic oriented racing algorithm for the fine-tuning of
metaheuristics",
booktitle = "Proceedings...",
year = "2019",
organization = "Metaheuristics International Conference",
abstract = "The metaheuristics have become a powerful tool to solve real-world
optimization problems. Its ease adaptability, usually demands
effort to correctly define its components (e.g.: problem
representation, neighborhood structure, etc.) and parameters to
achieve their best performance. Thus, this paper aims to present
an approach on the fine-tuning of metaheuristics combining Design
of Experiments and Racing algorithms. The key idea is a heuristic
method, which explores a search space of parameters looking for
candidate configurations near of a promising alternative and
consistently finds the good ones. To confirm this approach, we
present a case study for fine-tuning a VNS metaheuristic on the
classical Traveling Salesman Problem, and compare its results
against a well established racing method. In general, our approach
proved to be effective in terms of the overall time of the tuning
process.",
conference-location = "Cartagena, Colombia",
conference-year = "28-31 July",
language = "en",
targetfile = "Barbosa_heuristic.pdf",
urlaccessdate = "26 abr. 2024"
}