Publication Details
Circuit Approximation Using Single- and Multi-Objective Cartesian GP
approximate circuit, Cartesian genetic programming, design method, multiobjective optimization
In this paper, the approximate circuit design problem is formulated as a multi-objective optimization problem in which the accuracy and power consumption are conflicting design objectives. We compare multi-objective and single-objective Cartesian genetic programming in the task of parallel adder and multiplier approximation. It is analyzed how the setting of the methods, formulating the problem as multi-objective or single-objective, and constraining the execution time can influence the quality of results. One of the conclusions is that the multi-objective approach is useful if the number of allowed evaluations is low. When more time is available, the single-objective approach becomes more efficient.
@INPROCEEDINGS{FITPUB10763,
author = "Zden\v{e}k Va\v{s}\'{i}\v{c}ek and Luk\'{a}\v{s} Sekanina",
title = "Circuit Approximation Using Single- and Multi-Objective Cartesian GP",
pages = "217--229",
booktitle = "Genetic Programming",
series = "Lecture Notes in Computer Science",
volume = 9025,
year = 2015,
location = "Berlin, DE",
publisher = "Springer International Publishing",
ISBN = "978-3-319-16500-4",
doi = "10.1007/978-3-319-16501-1\_18",
language = "english",
url = "https://www.fit.vut.cz/research/publication/10763"
}