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Guided search space for genetic programming - by Abdallah Youssef El-Halaby.

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dc.contributor.author El-Halaby, Abdallah Youssef.
dc.date.accessioned 2012-06-13T07:35:34Z
dc.date.available 2012-06-13T07:35:34Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10938/8681
dc.description Thesis (M.E.)--American University of Beirut, Department of Electrical and Computer Engineering, 2011.;"Advisor : Dr. Mariette Awad, Assistant Professor, Electrical and Computer Engineering--Members of Committee : Dr. Ayman Kayssi, Professor, Department o
dc.description Includes bibliographical references (leaves 85-90)
dc.description.abstract Genetic Programming (GP) is an adaptive heuristic search technique that adopts natural evolution strategies to find suitable solutions for diverse areas of studies. Some of the main disadvantages facing GP in classification tasks involve the unpredictable
dc.format.extent 90 leaves : ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:005571 AUBNO
dc.subject.lcsh Genetic programming (Computer science).
dc.subject.lcsh Linear programming.
dc.title Guided search space for genetic programming - by Abdallah Youssef El-Halaby.
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering.


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