RT Conference Proceedings
T1 Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: 												Preliminary Study on the Traveling Salesman Problem
A1 Osaba, Eneko
A1 Villar-Rodriguez, Esther
A1 Oregi, Izaskun
A1 Moreno-Fernandez-de-Leceta, Aitor
AB Quantum Computing is considered as the next frontier in computing, and it is attracting a lot of attention from the current scientific community. This kind of computation provides to researchers with a revolutionary paradigm for addressing complex optimization problems, offering a significant speed advantage and an efficient search ability. Anyway, Quantum Computing is still in an incipient stage of development. For this reason, present architectures show certain limitations, which have motivated the carrying out of this paper. In this paper, we introduce a novel solving scheme coined as hybrid Quantum Computing - Tabu Search Algorithm. Main pillars of operation of the proposed method are a greater control over the access to quantum resources, and a considerable reduction of nonprofitable accesses. To assess the quality of our method, we have used 7 different Traveling Salesman Problem instances as benchmarking set. The obtained outcomes support the preliminary conclusion that our algorithm is an approach which offers promising results for solving partitioning problems while it drastically reduces the access to quantum computing resources. We also contribute to the field of Transfer Optimization by developing an evolutionary multiform multitasking algorithm as initialization method.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781728183923
YR 2021
FD 2021
LK https://hdl.handle.net/11556/2599
UL https://hdl.handle.net/11556/2599
LA eng
NO Osaba , E , Villar-Rodriguez , E , Oregi , I & Moreno-Fernandez-de-Leceta , A 2021 , Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems : Preliminary Study on the Traveling Salesman Problem . in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings . 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , pp. 351-358 , 2021 IEEE Congress on Evolutionary Computation, CEC 2021 , Virtual, Krakow , Poland , 28/06/21 . https://doi.org/10.1109/CEC45853.2021.9504923
NO conference
NO Publisher Copyright: © 2021 IEEE
NO Eneko Osaba, Esther Villar-Rodriguez and Izaskun Oregui would like to thank the Basque Government for its funding support through the EMAITEK and ELKARTEK (through QUANTEK project) programs.
DS TECNALIA Publications
RD 27 jul 2024