Evolutionary Optimization: the uGP toolkit

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Ernesto Sanchez and Massimiliano Schillaci and 
                 Giovanni Squillero",
  title =        "Evolutionary Optimization: the uGP toolkit",
  publisher =    "Springer",
  year =         "2011",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Optimisation, Graph-based representation, Industrial
                 Problems, MicroGP, Problem Complexity, Real-world
                 Applications, Turing-complete, evolutionary algorithm,
                 evolutionary computation",
  isbn13 =       "978-0-387-09425-0",
  URL =          "http://www.springer.com/computer/ai/book/978-0-387-09425-0",
  DOI =          "DOI:10.1007/978-0-387-09426-7",
  abstract =     "This book describes an award-winning evolutionary
                 algorithm that outperformed experts and conventional
                 heuristics in solving several industrial problems. It
                 presents a discussion of the theoretical and practical
                 aspects that enabled uGP (MicroGP) to autonomously find
                 the optimal solution of hard problems, handling highly
                 structured data, such as full-fledged assembly
                 programs, with functions and interrupt handlers.

                 For a practitioner, microGP is simply a versatile
                 optimiser to tackle most problems with limited setup
                 effort. The book is valuable for all who require
                 heuristic problem-solving methodologies, such as
                 engineers dealing with verification and test of
                 electronic circuits; or researchers working in robotics
                 and mobile communication. Examples are provided to
                 guide the reader through the process, from problem
                 definition to gathering results.

                 For an evolutionary computation researcher, muGP may be
                 regarded as a platform where new operators and
                 strategies can be easily tested.

                 MicroGP (the toolkit) is an active project hosted by
                 Sourceforge: http://ugp3.sourceforge.net/",
  size =         "178 pages",

Genetic Programming entries for Ernesto Sanchez Massimiliano Schillaci Giovanni Squillero