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Shortening Plans by Local Re-Planning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10129823" target="_blank" >RIV/00216208:11320/12:10129823 - isvavai.cz</a>

  • Result on the web

    <a href="http://ktiml.mff.cuni.cz/~balyo/papers/ictai2012.pdf" target="_blank" >http://ktiml.mff.cuni.cz/~balyo/papers/ictai2012.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICTAI.2012.144" target="_blank" >10.1109/ICTAI.2012.144</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Shortening Plans by Local Re-Planning

  • Original language description

    There exist planning algorithms that can quickly find sub-optimal plans even for large problems and planning algorithms finding optimal plans but only for smaller problems. In this paper we attempt to integrate both approaches. We present an anytime technique for improving plan quality, in particular decreasing the plan makespan, via substituting parts of the plan by makespan-optimal sub-plans. The technique guarantees optimality though it is primarily intended to quickly improve plan quality. We experimentally compare various approaches to local improvements and we show that our method has significantly better makespan score than the SASE planner, which is one of the best optimal planners.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1287" target="_blank" >GAP103/10/1287: PlanEx: Bridging Planning and Execution</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • 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 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2012]

  • ISBN

    978-0-7695-4915-6

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1022-1028

  • Publisher name

    IEEE Press

  • Place of publication

    Athens

  • Event location

    Athens, Greece

  • Event date

    Nov 7, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article