Genetic Programming Theory and Practice II   [GP] [GPT]

by

Yu, T., Riolo, R., L. and Worzel, B. (eds.)

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Info: List of papers, 2004
Keywords:genetic algorithms, genetic programming
Abstract:
About this book This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method [ML] of Genetic Programming (GP). [GP] [GPG] The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems [CS] where leading international genetic programming [GP] theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory [GT] informs practice and how GP practice impacts GP theory. [GT] Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, [FT] [FTR] [TR] [SM] [MB] [PS] the roles of structure in problem solving [PS] by computer, stock picking, automated design [AD] of industrial-strength analog circuits, topological synthesis [AC] of robust systems, algorithmic chemistry, supply chain reordering policies, [AC] [SC] post docking filtering, an evolved antenna for a NASA mission and incident detection [ID] on highways. Foreword by Dr. Dave Davis, Vice President of Product Research NuTech Solutions, Inc., It was my good fortune to be invited to the 2004 Genetic Programming Workshop [GP] on Theory and Practice, held in May in Ann Arbor, Michigan. The goals of the workshop were unique, as was the blend of participants. To my knowledge, this workshop is alone in focusing on and promoting the interaction between theory and practice in the evolutionary computation world. [EC] There are many workshops and conference tracks that are oriented toward one or the other of these two, mostly disjoint, areas of evolutionary computation work. [EC] To participate in a workshop promoting interactions between the two subfields was a great joy. The workshop organizers have summarized the various talks in the first chapter of this volume, and the reader can get a feel there for the talk I gave on the first day of the workshop. It is worth noting that a talk like mine, containing actual slides from training sessions for industrial practitioners of evolutionary computation, [EC] and containing a series of slides describing historically accurate but prickly interchanges between practitioners and theoreticians over the last twenty years, would most likely not have received a sympathetic hearing ten or twenty years ago. The attendees of this workshop, practitioners and theoreticians in roughly equal numbers, were able to laugh at some points, consider others, and during the course of the workshop, openly discuss issues related to the integration of theoretical and practical work in evolutionary computation. [EC] Our field is maturing in both areas, and so are our approaches to promoting interactions between our field's practical and theoretical sub fields. There is a good deal to be gained by all of this in these types of interactions, and by the change in focus that they create. The papers in this year's workshop are very stimulating, and I look forward as well to reading next year's workshop volume, containing even more work lying on the frontiers between theory and application of evolutionary computation. [EC]
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BibTex:
@Proceedings{oreilly:2004:GPTP2,
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
                 Bill Worzel",
  title =        "Genetic Programming Theory and Practice {II}",
  publisher =    "Springer",
  year =         "2004",
  volume =       "8",
  series =       "Genetic Programming",
  address =      "Ann Arbor, MI, USA",
  month =        "13-15 " # may,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-387-23253-2",
  URL =          "http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-40356-22-34954683-0,00.html",
  doi =          "doi:10.1007/b101112",
  abstract =     "About this book

                 This volume explores the emerging interaction between
                 theory and practice in the cutting-edge, machine
                 learning method of Genetic Programming (GP). The
                 contributions developed from a second workshop at the
                 University of Michigan's Center for the Study of
                 Complex Systems where leading international genetic
                 programming theorists from major universities and
                 active practitioners from leading industries and
                 businesses met to examine how GP theory informs
                 practice and how GP practice impacts GP theory.
                 Chapters include such topics as financial trading
                 rules, industrial statistical model building,
                 population sizing, the roles of structure in problem
                 solving by computer, stock picking, automated design of
                 industrial-strength analog circuits, topological
                 synthesis of robust systems, algorithmic chemistry,
                 supply chain reordering policies, post docking
                 filtering, an evolved antenna for a NASA mission and
                 incident detection on highways.

                 Foreword by Dr. Dave Davis, Vice President of Product
                 Research NuTech Solutions, Inc.,

                 It was my good fortune to be invited to the 2004
                 Genetic Programming Workshop on Theory and Practice,
                 held in May in Ann Arbor, Michigan. The goals of the
                 workshop were unique, as was the blend of participants.
                 To my knowledge, this workshop is alone in focusing on
                 and promoting the interaction between theory and
                 practice in the evolutionary computation world. There
                 are many workshops and conference tracks that are
                 oriented toward one or the other of these two, mostly
                 disjoint, areas of evolutionary computation work. To
                 participate in a workshop promoting interactions
                 between the two subfields was a great joy. The workshop
                 organizers have summarized the various talks in the
                 first chapter of this volume, and the reader can get a
                 feel there for the talk I gave on the first day of the
                 workshop. It is worth noting that a talk like mine,
                 containing actual slides from training sessions for
                 industrial practitioners of evolutionary computation,
                 and containing a series of slides describing
                 historically accurate but prickly interchanges between
                 practitioners and theoreticians over the last twenty
                 years, would most likely not have received a
                 sympathetic hearing ten or twenty years ago. The
                 attendees of this workshop, practitioners and
                 theoreticians in roughly equal numbers, were able to
                 laugh at some points, consider others, and during the
                 course of the workshop, openly discuss issues related
                 to the integration of theoretical and practical work in
                 evolutionary computation.

                 Our field is maturing in both areas, and so are our
                 approaches to promoting interactions between our
                 field's practical and theoretical sub fields. There is
                 a good deal to be gained by all of this in these types
                 of interactions, and by the change in focus that they
                 create. The papers in this year's workshop are very
                 stimulating, and I look forward as well to reading next
                 year's workshop volume, containing even more work lying
                 on the frontiers between theory and application of
                 evolutionary computation.",
  size =         "320 pages",
}