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    CEC
    2007
    IEEE
    120views Artificial Intelligence» more  CEC 2007»
    A histogram-matching approach to the evolution of bin-packing strategies
    15 years 6 months ago
    A histogram-matching approach to the evolution of bin-packing strategies
    Download  www.asap.cs.nott.ac.uk
    Abstract— We present a novel algorithm for the onedimension offline bin packing problem with discrete item sizes based on the notion of matching the item-size histogram with the...
    Riccardo Poli, John Woodward, Edmund K. Burke
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    AAAI
    2008
    91views Intelligent Agents» more  AAAI 2008»
    Conformant Planning Heuristics Based on Plan Reuse in Belief States
    15 years 2 months ago
    Conformant Planning Heuristics Based on Plan Reuse in Belief States
    Download  www.aaai.org
    Dunbo Cai, Jigui Sun, Minghao Yin
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    AIPS
    2007
    120views Artificial Intelligence» more  AIPS 2007»
    A Hybrid Linear Programming and Relaxed Plan Heuristic for Partial Satisfaction Planning Problems
    15 years 2 months ago
    A Hybrid Linear Programming and Relaxed Plan Heuristic for Partial Satisfaction Planning Problems
    Download  abotea.rsise.anu.edu.au
    J. Benton, Menkes van den Briel, Subbarao Kambhamp...
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    AAAI
    2007
    94views Intelligent Agents» more  AAAI 2007»
    Model-lite Planning for the Web Age Masses: The Challenges of Planning with Incomplete and Evolving Domain Models
    15 years 2 months ago
    Model-lite Planning for the Web Age Masses: The Challenges of Planning with Incomplete and Evolving Domain Models
    Download  rakaposhi.eas.asu.edu
    The automated planning community has traditionally focused on the efficient synthesis of plans given a complete domain theory. In the past several years, this line of work met wi...
    Subbarao Kambhampati
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    IJCAI
    2001
    95views Artificial Intelligence» more  IJCAI 2001»
    Local Search Topology in Planning Benchmarks: An Empirical Analysis
    15 years 1 months ago
    Local Search Topology in Planning Benchmarks: An Empirical Analysis
    Download  www.informatik.uni-freiburg.de
    Many state-of-the-art heuristic planners derive their heuristic function by relaxing the planning task at hand, where the relaxation is to assume that all delete lists are empty. ...
    Jörg Hoffmann
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