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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 3 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
    14 years 12 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
    14 years 12 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
    14 years 12 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
    14 years 11 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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