Electronic Resource

How to start a heuristic? Utilizing lower bounds for solving the quadratic assignment problem

التفاصيل البيبلوغرافية
العنوان: How to start a heuristic? Utilizing lower bounds for solving the quadratic assignment problem
المؤلفون: Matoušek, Radomil, Dobrovský, Ladislav, Kůdela, Jakub
بيانات النشر: Growing Science 2021-12-31
نوع الوثيقة: Electronic Resource
مستخلص: The Quadratic Assignment Problem (QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications. The QAP is an NP-hard optimization problem which attracts the use of heuristic or metaheuristic algorithms that can find quality solutions in an acceptable computation time. On the other hand, there is quite a broad spectrum of mathematical programming techniques that were developed for finding the lower bounds for the QAP. This paper presents a fusion of the two approaches whereby the solutions from the computations of the lower bounds are used as the starting points for a metaheuristic, called HC12, which is implemented on a GPU CUDA platform. We perform extensive computational experiments that demonstrate that the use of these lower bounding techniques for the construction of the starting points has a significant impact on the quality of the resulting solutions.
مصطلحات الفهرس: Heuristics, Lower bounds, Metaheuristics, Quadratic assignment problem, Starting values
URL: http://hdl.handle.net/11012/203280
http://www.growingscience.com/ijiec/Vol13/IJIEC_2021_33.pdf
International Journal of Industrial Engineering Computations
http://www.growingscience.com/ijiec/Vol13/IJIEC_2021_33.pdf
الاتاحة: Open access content. Open access content
http://creativecommons.org/licenses/by/4.0
openAccess
http://www.sherpa.ac.uk/romeo/issn/1923-2934
Creative Commons Attribution 4.0 International
ملاحظة: 2
13
English
Other Numbers: CZBUT oai:https://dspace.vut.cz:11012/203280
International Journal of Industrial Engineering Computations. 2021, vol. 13, issue 2, p. 151-164.
1923-2934
175648
10.5267/j.ijiec.2021.12.003
1427092359
المصدر المساهم: BRNO UNIV OF TECHNOL
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1427092359
قاعدة البيانات: OAIster