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Bot, Martijn, Urquhart, Neil B and Chisholm, Ken (2001) Agent motion planning with GAs enhanced by memory models. Genetic and Evolutionary Computation Conference - GECCO 2001. pp. 227-234.
Full text not available from this repository. (Request a copy)Abstract/Description
The Tartarus problem may be considered a benchmark problem in the field of robotics. A robotic agent is required to move a number of blocks to the edge of an environment. The location of the blocks and position of the robot is unknown initially. The authors present a framework that allows the agent to learn about its environment and plan ahead using a GA to solve the problem. The authors prove that the GA based method provides the best published result on the Tartarus problem. An exhaustive search is used within the framework as a comparison, this provides a higher score still. This paper presents the two best Tartarus results yet published
| Item Type: | Article |
|---|---|
| ISBN: | 1-55860-774-9 |
| Uncontrolled Keywords: | Tartarus; robotic agent; GA; memory models; |
| University Divisions/Research Centres: | Faculty of Engineering, Computing and Creative Industries > School of Computing |
| Dewey Decimal Subjects: | 600 Technology > 620 Engineering > 629 Vehicle engineering |
| Library of Congress Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Item ID: | 3300 |
| Depositing User: | Computing Research |
| Date Deposited: | 30 Jun 2010 13:17 |
| Last Modified: | 27 Jul 2011 16:25 |
| URI: | http://researchrepository.napier.ac.uk/id/eprint/3300 |
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