Investigations of Different Seeding Strategies in a Genetic Planner
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{westerberg:2001:EvoWorks,
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author = "C. Henrik Westerberg and John Levine",
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title = "Investigations of Different Seeding Strategies in a
Genetic Planner",
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booktitle = "Applications of Evolutionary Computing",
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year = "2001",
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editor = "Egbert J. W. Boers and Stefano Cagnoni and
Jens Gottlieb and Emma Hart and Pier Luca Lanzi and
Gunther R. Raidl and Robert E. Smith and Harald Tijink",
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volume = "2037",
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series = "LNCS",
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pages = "505--514",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, population
seeding, classical planning, STRIPS, one point
crossover, linear representation, plan, artificial
intelligence, blocks world",
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ISBN = "3-540-41920-9",
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URL = "http://www.cis.strath.ac.uk/~henrik/publications/EvoSTIM_HenrikWesterberg.ps",
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URL = "http://www.aiai.ed.ac.uk/~johnl/papers/westerberg-evostim01.ps",
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URL = "http://citeseer.ist.psu.edu/505122.html",
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abstract = "Planning is a difficult and fundamental problem of AI.
An alternative solution to traditional planning
techniques is to apply Genetic Programming. As a
program is similar to a plan a Genetic Planner can be
constructed that evolves plans to the plan solution.
One of the stages of the Genetic Programming algorithm
is the initial population seeding stage. We present
five alternatives to simple random selection based on
simple search. We found that some of these strategies
did improve the initial population, and the efficiency
of the Genetic Planner over simple random selection of
actions.",
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notes = "EvoWorkshops2001. Fitness by simulation",
- }
Genetic Programming entries for
Carl Henrik Westerberg
John Levine
Citations