Generating feasible schedules under complex metric constraints
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
The OPL optimization programming language
The OPL optimization programming language
A Constraint-Based Method for Project Scheduling with Time Windows
Journal of Heuristics
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
Combining variants of iterative flattening search
Engineering Applications of Artificial Intelligence
Slack-based heuristics for constraint satisfaction scheduling
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Stochastic procedures for generating feasible schedules
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The paper presents recent work on using robust state-of-the-art AI Planning and Scheduling (P&S) techniques to provide autonomous capabilities in a space robotic domain. We have defined a simple robotic scenario, reduced it to a known scheduling problem which is addressed here with a constraint-based, resource-driven reasoner. We present an initial experimentation that compares different meta-heuristic algorithms.