Affiliations: [a] Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México | [b] Universidad Autónoma del Estado de Hidalgo, Hidalgo, México | [c] Universidad Autónoma de Ciudad Juárez Chihuahua, México
Correspondence:
[*]
Corresponding author: María Beatríz Bernábe-Loranca, Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México. E-mail:[email protected]
Abstract: The bioinspired systems are presented as a set of models
that are based on the behavior of some biological systems and how act. These
models can be expressed in data mining and operations research where
clustering is a recurrent technique used to solve the P-median and
territorial design problems. At this point, we have solved the P-median
problem with a partitioning approach with bioinspired aspects and Variable
Neighborhood Search (VNS). In this work we have improved the basic VNS
search strategy and we present a bioinspired partitioning algorithm with
optimization by Tabu Search (TS). This clustering-partitioning problem under
a bioinspired connotation has been proposed after observing some
characteristics in common between clustering and human behavior during
conflict situations, where some characteristics have been modeled
accordingly. Finally we present our progress from our VNS implementation to
our TS proposal.
