All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Network measures and evaluation of traveling salesman instance hardness

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241722" target="_blank" >RIV/61989100:27240/18:10241722 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8285352" target="_blank" >https://ieeexplore.ieee.org/document/8285352</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SSCI.2017.8285352" target="_blank" >10.1109/SSCI.2017.8285352</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network measures and evaluation of traveling salesman instance hardness

  • Original language description

    Assessing the hardness of combinatorial optimization problem instances is not a trivial task. Although it is easy to compute the size of the search space, associated with particular problem instance, its actual shape is usually unknown. Traveling salesman problem (TSP) is an NP-hard combinatorial optimization problem that has been solved by a number of exact and approximate algorithms. It also often serves as a testbed for new heuristic and metaheuristic optimization methods. The hardness of a TSP instance cannot be determined easily. Simple measures such as the number of cities do not capture its internal structure sufficiently. In this work, we propose a new network-based method for the assessment of TSP instance hardness. The new approach is evaluated on a set of randomized TSP instances with different structure and its relation to the performance of a selected metaheuristic TSP solver is studied.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ16-25694Y" target="_blank" >GJ16-25694Y: Multi-paradigm data mining algorithms based on information retrieval, fuzzy, and bio-inspired methods</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA

  • ISBN

    978-1-5386-2726-6

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Honolulu

  • Event date

    Nov 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article