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. |