- Abstract:
-
Planning is a difficult and fundamental problem of AI. An alternative solution to planning may lie in applying Genetic Programming to the planning problem. As such a Genetic Planner was constructed to assess the feasibility of this idea. This paper introduces the topics of Genetic Programming and Genetic Planning and introduces the algorithm used to implement the Genetic Planner. The Genetic Planner was applied to three classical planning domains: STRIPS Blocks Domain, Briefcase Domain, and the Logistics Domain. The Genetic Planner produced good results for both the STRIPS Blocks Domain and the Briefcase Domain. However further work is required before it can solve any problem from the Logistics Domain besides the trivial ones. There is also some comparison of GenPlan with both BlackBox and SINERGY. The first implementation provided many avenues for further research: quick partial plan formation for seeding the Genetic Planner's initial population, more intelligent fitness functions, and an intelligent form of crossover and mutation. Further research into the feasibility of the Genetic Planner to plan in alternative domains besides classical planning is also important.
- Copyright:
- 2002 by The University of Edinburgh. All Rights Reserved
- The sponsors of this research and the University of Edinburgh are authorised to reproduce and distribute reprints for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing official policies or endorsements, either express or implied, of the research sponsors or the University of Edinburgh.
- Links To Paper
- No links available
- Bibtex format
- @Misc{EDI-INF-RR-0104,
- author = {
Henrik Westerberg
and John Levine
},
- title = {"GenPlan": Combining Genetic Programming and Planning},
- year = 2000,
- month = {Dec},
- }
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