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”

An Efficient Route Minimization Algorithm for the Vehicle Routing Problem with Time Windows based on Agent Negotiation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207017" target="_blank" >RIV/68407700:21230/13:00207017 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-642-44927-7_11" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-44927-7_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-44927-7_11" target="_blank" >10.1007/978-3-642-44927-7_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Efficient Route Minimization Algorithm for the Vehicle Routing Problem with Time Windows based on Agent Negotiation

  • Original language description

    We present an efficient route minimization algorithm for the vehicle routing problem with time windows. The algorithm uses a generic agent decomposition of the problem featuring a clear separation between the local planning performed by the individual vehicles and the abstract global coordination achieved by negotiation --- differentiating the presented algorithm from the traditional centralized algorithms. A novel negotiation semantics is introduced on the global coordination planning level allowing customers to be temporarily ejected from the emerging solution being constructed. This allows the algorithm to efficiently backtrack in situations when the currently processed customer cannot be feasibly allocated to the emerging solution. Over the relevant widely-used benchmarks the algorithm equals the best known solutions achieved by the centralized algorithms in 90.7% of the cases with an overall relative error of 0.3%, outperforming the previous comparable agent-based algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 16th International Conference on Principles and Practice of Multi-Agent Systems

  • ISBN

    978-3-642-44926-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    149-164

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Dunedin

  • Event date

    Dec 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article