Improved Alopex-based evolutionary algorithm by Gaussian copula estimation of distribution algorithm and its application to the Butterworth filter design

DOI10.1080/00207721.2017.1390702zbMath1385.93076OpenAlexW2765102694MaRDI QIDQ4638024

Yihang Yang, Shao-Jun Li, Xiang Cheng, Da Jiang, Junrui Cheng

Publication date: 3 May 2018

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2017.1390702

zbMATH Keywords

evolutionary algorithmGaussian copulaestimation of distribution algorithmAlopex

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59) Estimation and detection in stochastic control theory (93E10)

Uses Software

• CMA-ES
• ABC

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Optimization by Simulated Annealing
• A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
• An introduction to copulas.
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Feature Subset Selection by Bayesian network-based optimization
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Quadratic approximation based hybrid genetic algorithm for function optimization
• Correlations and Copulas for Decision and Risk Analysis

This page was built for publication: Improved Alopex-based evolutionary algorithm by Gaussian copula estimation of distribution algorithm and its application to the Butterworth filter design