DocumentCode
3253014
Title
Multiobjective genetic programming: reducing bloat using SPEA2
Author
Bleuler, Stefan ; Brack, Martin ; Thiele, Lothar ; Zitzler, Eckart
Author_Institution
Swiss Federal Inst. of Technol., Zurich, (Switzerland). Comput. Eng. & Commun. Networks Lab., TIK
Volume
1
fYear
2001
fDate
2001
Firstpage
536
Abstract
This study investigates the use of multiobjective techniques in genetic programming (GP) in order to evolve compact programs and to reduce the effects caused by bloating. The proposed approach considers the program size as a second, independent objective besides the program functionality. In combination with a multiobjective evolutionary technique, SPEA2, this method outperforms four other strategies to reduce bloat with regard to both convergence speed and size of the produced programs on an even-parity problem
Keywords
convergence; genetic algorithms; programming theory; SPEA2; bloating; compact programs; convergence speed; even-parity problem; multiobjective evolutionary technique; multiobjective genetic programming; program functionality; Communication networks; Computer networks; Convergence; Genetic engineering; Genetic programming; Optimization methods; Time measurement; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934438
Filename
934438
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