Abstract
This paper presents an integrated planning and scheduling algorithm based on co-evolutionary algorithms. This planner is the core of the delibera-tive level of a three-layer autonomous system (called Wisdom) for planetary rovers. The planner operates at two different levels: at a higher level reallocates and transforms mission goals, based on contingent events, in order to reach scientifically interesting targets and minimize the risk of a failure, at a lower level it generates scheduled sequences of actions that optimize a number of objectives. A particular implementation of co-evolutionary algorithms is used to generate sets of Pareto-optimal plans for every given sequence of goals. Some tests will illustrate the main characteristics of the algorithm.
Original language | English |
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Publication status | Published - 6 Jan 2007 |
Event | International Joint Conference on Artificial Intelligence (IJCAI) - Hyderabad, India Duration: 6 Jan 2007 → 12 Jan 2007 |
Conference
Conference | International Joint Conference on Artificial Intelligence (IJCAI) |
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City | Hyderabad, India |
Period | 6/01/07 → 12/01/07 |
Keywords
- planning and scheduling algorithm
- planetary rovers
- co-evolutionary algorithms
- pareto-optimal plans
- mission goals