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PETRLÍK, J. SEKANINA, L.
Original Title
Multiobjective Evolution of Multiple-Constant Multipliers
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
In this paper, we propose a method for multiobjective evolutionary design of multiple constant multipliers (MCM). MCM is a digital circuit which multiplies its single input by N constants. MCMs are very good candidates for evolutionary design, because a candidate MCM can quickly be evaluated by applying only a single test vector. In our approach, we utilize Cartesian Genetic Programming and a controlled elitist non-dominated sorting algorithm. The proposed method is capable of finding a good trade-off among the chosen criteria.
Keywords
multiple constant multiplier, multiobjective optimization, cartesian genetic programming, NSGAII
Authors
PETRLÍK, J.; SEKANINA, L.
RIV year
2012
Released
27. 6. 2012
Publisher
Faculty of Mechanical Engineering BUT
Location
Brno
ISBN
978-80-214-4540-6
Book
Proceedings of the 18th International Conference on Soft Computing (MENDEL2012)
Pages from
64
Pages to
69
Pages count
6
BibTex
@inproceedings{BUT96972, author="Jiří {Petrlík} and Lukáš {Sekanina}", title="Multiobjective Evolution of Multiple-Constant Multipliers", booktitle="Proceedings of the 18th International Conference on Soft Computing (MENDEL2012)", year="2012", pages="64--69", publisher="Faculty of Mechanical Engineering BUT", address="Brno", isbn="978-80-214-4540-6" }