Investigations of Different Seeding Strategies in a Genetic Planner

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{westerberg:2001:EvoWorks,

• author = "C. Henrik Westerberg and John Levine",
• title = "Investigations of Different Seeding Strategies in a Genetic Planner",
• booktitle = "Applications of Evolutionary Computing",
• year = "2001",
• 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",
• volume = "2037",
• series = "LNCS",
• pages = "505--514",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, population seeding, classical planning, STRIPS, one point crossover, linear representation, plan, artificial intelligence, blocks world",
• ISBN = "3-540-41920-9",
• URL = "http://www.cis.strath.ac.uk/~henrik/publications/EvoSTIM_HenrikWesterberg.ps",
• URL = "http://www.aiai.ed.ac.uk/~johnl/papers/westerberg-evostim01.ps",
• URL = "http://citeseer.ist.psu.edu/505122.html",
• 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.",
• notes = "EvoWorkshops2001. Fitness by simulation",

}

Genetic Programming entries for Carl Henrik Westerberg John Levine

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