Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach (2000)
| Venue: | Artificial Intelligence for Engineering, Design, Analysis and Manufacture |
| Citations: | 6 - 2 self |
BibTeX
@ARTICLE{Coello00designof,
author = {Carlos A. Coello Coello and Arturo Hernández Aguirre},
title = {Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach},
journal = {Artificial Intelligence for Engineering, Design, Analysis and Manufacture},
year = {2000},
volume = {16},
pages = {2002}
}
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Abstract
In this paper, we propose a population-based evolutionary multiobjective optimization approach to design combinational circuits. Our results indicate that the proposed approach can significantly reduce the computational effort required by a genetic algorithm (GA) to design circuits at a gate level while generating equivalent or even better solutions (i.e., circuits with a lower number of gates) than a human designer or even other GAs. Several examples taken from the literature are used to evaluate the performance of the proposed approach.
