Optimizing Parameters of Signal Temporal Logic Formulas with Local Search

Date

2019-08-22

Author

Aydin, Sertac Kagan
Aydın Göl, Ebru

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Signal temporal logic (STL) is a formal language for expressing temporal and real-time properties of real valued signals. In this paper, we study the problem of generating an STL formula from a labeled dataset. We propose a local search algorithm to synthesize parameters of a template formula. Starting from a random initial point, the parameter space is explored in the directions improving the formula evaluation. In addition, the local search method is integrated to the genetic algorithms developed for formula synthesis as the adaptation step. The findings of the paper are shown on a case study and compared with the previous results, which shows that the adaptation step improves the convergence.

Subject Keywords

Formal methods, STL, Requirement mining, Random search, Genetic algorithms, Adaptation

URI

https://hdl.handle.net/11511/42543

DOI

https://doi.org/10.1109/siu.2019.8806568

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. K. Aydin and E. Aydın Göl, “Optimizing Parameters of Signal Temporal Logic Formulas with Local Search,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42543.