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Local Search for Planning and Scheduling [electronic resource] :ECAI 2000 Workshop Berlin, Germany, August 21, 2000 Revised Papers /
Contributor(s): Nareyek, Alexander [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Computer Science: 2148Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001.Description: VIII, 176 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540456124.Subject(s): Computer science | Computers | Algorithms | Numerical analysis | Computer science -- Mathematics | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Theory of Computation | Algorithm Analysis and Problem Complexity | Numeric Computing | Discrete Mathematics in Computer ScienceOnline resources: Click here to access online
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Invited Paper -- Meta-heuristics: The State of the Art -- Combinatorial Optimization -- Solving the Sports League Scheduling Problem with Tabu Search -- Lagrange Multipliers for Local Search on Planning Graphs -- Planning with Resources -- Beyond the Plan-Length Criterion -- An Empirical Evaluation of the Effectiveness of Local Search for Replanning -- Board-Laying Techniques Improve Local Search in Mixed Planning and Scheduling -- Empirical Evaluation of Local Search Methods for Adapting Planning Policies in a Stochastic Environment -- Related Approaches -- The GRT Planner: New Results -- Incremental Local Search for Planning Problems -- Map Drawing Based on a Resource-Constrained Search for a Navigation System.
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Invited Paper -- Meta-heuristics: The State of the Art -- Combinatorial Optimization -- Solving the Sports League Scheduling Problem with Tabu Search -- Lagrange Multipliers for Local Search on Planning Graphs -- Planning with Resources -- Beyond the Plan-Length Criterion -- An Empirical Evaluation of the Effectiveness of Local Search for Replanning -- Board-Laying Techniques Improve Local Search in Mixed Planning and Scheduling -- Empirical Evaluation of Local Search Methods for Adapting Planning Policies in a Stochastic Environment -- Related Approaches -- The GRT Planner: New Results -- Incremental Local Search for Planning Problems -- Map Drawing Based on a Resource-Constrained Search for a Navigation System.
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