# Iterative Prototype Optimisation with Evolved Improvement Steps

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{eurogp06:KubalikFaigl,
author =       "Jiri Kubalik and Jan Faigl",
title =        "Iterative Prototype Optimisation with Evolved
Improvement Steps",
editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and
Steven Gustafson and Anik\'o Ek\'art",
booktitle =    "Proceedings of the 9th European Conference on Genetic
Programming",
publisher =    "Springer",
series =       "Lecture Notes in Computer Science",
volume =       "3905",
year =         "2006",
month =        "10 - 12 " # apr,
organisation = "EvoNet",
keywords =     "genetic algorithms, genetic programming",
ISBN =         "3-540-33143-3",
pages =        "154--165",
DOI =          "doi:10.1007/11729976_14",
bibsource =    "DBLP, http://dblp.uni-trier.de",
abstract =     "Evolutionary algorithms have already been more or less
successfully applied to a wide range of optimisation
problems. Typically, they are used to evolve a
population of complete candidate solutions to a given
problem, which can be further refined by some
problem-specific heuristic algorithm. In this paper, we
introduce a new framework called {\it Iterative
Prototype Optimisation with Evolved Improvement Steps}.
This is a general optimisation framework, where an
initial prototype solution is being improved iteration
by iteration. In each iteration, a sequence of
actions/operations, which improves the current
prototype the most, is found by an evolutionary
algorithm. The proposed algorithm has been tested on
problems from two different optimisation problem
domains - binary string optimisation and the travelling
salesman problem. Results show that the concept can be
used to solve hard problems of big size reliably
achieving comparably good or better results than
classical evolutionary algorithms and other selected
methods.",
notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006",
}



Genetic Programming entries for Jiri Kubalik Jan Faigl

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