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KALKREUTH, R. VAŠÍČEK, Z. HUSA, J. VERMETTEN, D. YE, F. THOMAS, B.
Original Title
General Boolean Function Benchmark Suite
Type
conference paper
Language
English
Original Abstract
Just over a decade ago, the first comprehensive review on the state of benchmarking in Genetic Programming (GP) analyzed the mismatch between the problems that are used to test the performance of GP systems and real-world problems. Since then, several benchmark suites in major GP problem domains have been proposed over time, filling some of the major gaps. In the framework of the first review about the state of benchmarking in GP, logic synthesis (LS) was classified as one of the major GP problem domains. However, a diverse and accessible benchmark suite for LS is still missing. In this work, we propose a benchmark suite for LS that covers different types of Boolean functions that are commonly used in the field of GP. We analyze the complexity of the proposed benchmark by using popular complexity measures that are commonly used to classify and characterize Boolean functions and digital circuits.
Keywords
genetic programming, logic synthesis, benchmark
Authors
KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B.
Released
30. 8. 2023
Publisher
Association for Computing Machinery
Location
Potsdam
ISBN
979-8-4007-0202-0
Book
FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
Pages from
84
Pages to
95
Pages count
12
BibTex
@inproceedings{BUT185171, author="KALKREUTH, R. and VAŠÍČEK, Z. and HUSA, J. and VERMETTEN, D. and YE, F. and THOMAS, B.", title="General Boolean Function Benchmark Suite", booktitle="FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms", year="2023", pages="84--95", publisher="Association for Computing Machinery", address="Potsdam", doi="10.1145/3594805.3607131", isbn="979-8-4007-0202-0" }