Local Search for Planning and Scheduling ECAI 2000 Workshop, Berlin, Germany, August 21, 2000. Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nareyek, Alexander (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Edition: 1st ed. 2001.
• Series: Lecture Notes in Artificial Intelligence ; 2148
• Subjects: Artificial intelligence.; Computers.; Algorithms.; Numerical analysis.; Computer science-Mathematics.; Artificial Intelligence.; Theory of Computation.; Algorithm Analysis and Problem Complexity.; Numeric Computing.; Discrete Mathematics in Computer Science.

Table of Contents:

• 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.