@InProceedings{iba:1994:GPlHCppsn3,
author = "Hitoshi Iba and Hugo {de Garis} and Taisuke Sato",
title = "Genetic Programming with Local Hill-Climbing",
booktitle = "Parallel Problem Solving from Nature III",
year = "1994",
editor = "Yuval Davidor and Hans-Paul Schwefel and Reinhard
M{\"a}nner",
pages = "334--343",
address = "Jerusalem",
publisher_address = "Berlin, Germany",
month = "9-14 " # oct,
publisher = "Springer-Verlag",
keywords = "genetic algorithms, genetic programming",
abstract = "{"}We demonstrate the superior effectiveness of
GP+local Hill Climbing with experiments in Boolean
concept formation and symbolic regression{"}. Boolean
GP combines GP with Adaptive Logic Network trees.
Combination can evove to cope with time varying fitness
functions. Numerical GP combines GP with GMDH (Group
Method of Data Handling, Ivakhnenko)",
notes = "PPSN3 see also technical note Iba:1994:GPlHC",
}
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