TY - GEN
T1 - Parameter Setting of CMA-ES
T2 - 24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
AU - Chen, Ting Yu
AU - Yeh, Jia Fong
AU - Yeh, Tsung Su
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The evolution strategy with covariance matrix adaptation (CMA-ES) is a well-known algorithm in the family of evolution strategies. It consists of three main mechanisms: derandomized adaptation, cumulative step size, and covariance matrix adaptation. In this paper we aim to improve the CMA- ES and its performance by proper parameter values, better repair mechanism, removal of rank-one update, and a spread- based step size adaptation mechanism. We tested the proposed algorithm by ten test functions in the CEC2019 100-Digit Challenge. The results showed that our algorithm can achieve similar solution quality compared with two recent hybrid adaptive evolutionary algorithms and needs fewer fitness function evaluations.
AB - The evolution strategy with covariance matrix adaptation (CMA-ES) is a well-known algorithm in the family of evolution strategies. It consists of three main mechanisms: derandomized adaptation, cumulative step size, and covariance matrix adaptation. In this paper we aim to improve the CMA- ES and its performance by proper parameter values, better repair mechanism, removal of rank-one update, and a spread- based step size adaptation mechanism. We tested the proposed algorithm by ten test functions in the CEC2019 100-Digit Challenge. The results showed that our algorithm can achieve similar solution quality compared with two recent hybrid adaptive evolutionary algorithms and needs fewer fitness function evaluations.
KW - CMA-ES
KW - adaptive
KW - covariance matrix adaptation
KW - evolution strategy
UR - http://www.scopus.com/inward/record.url?scp=85079061600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079061600&partnerID=8YFLogxK
U2 - 10.1109/TAAI48200.2019.8959900
DO - 10.1109/TAAI48200.2019.8959900
M3 - Conference contribution
AN - SCOPUS:85079061600
T3 - Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
BT - Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 November 2019 through 23 November 2019
ER -