Improved Genetic Programming Algorithm Applied to Symbolic Regression and Software Reliability Modeling
نویسندگان
چکیده
منابع مشابه
Improved Genetic Programming Algorithm Applied to Symbolic Regression and Software Reliability Modeling
The present study aims at improving the ability of the canonical genetic programming algorithm to solve problems, and describes an improved genetic programming (IGP). The proposed method can be described as follows: the first investigates initializing population, the second investigates reproduction operator, the third investigates crossover operator, and the fourth investigates mutation operat...
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Genetic programming (GP) is a supervised learning method motivated by an analogy to biological evolution. GP creates successor hypotheses by repeatedly mutating and crossovering parts of the current best hypotheses, with expectation to find a good solution in the evolution process. In this report, the task to be performed was a symbolic regression problem, which is to find the symbolic function...
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proefschrift ter verkrijging van de graad van Doctor aan de Universiteit Leiden, op gezag van de Rector Magnificus Dr. Promotiecommissie Promotor: The work in this thesis has been carried out under the auspices of the research school IPA (Institute for Programming research and Algorithmics).
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2009
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2009.25047