Population sizing for inductive linkage identification

DOI10.1080/00207721.2011.577246zbMath1307.90206OpenAlexW1964387569MaRDI QIDQ5172413

Jih-Yiing Lin, Ying-Ping Chen

Publication date: 4 February 2015

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

Full work available at URL: https://doi.org/10.1080/00207721.2011.577246

zbMATH Keywords

genetic algorithmsdecision treesbuilding blocksinductive linkage identificationperturbation-based methodspopulation sizing

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Simulation of a random fuzzy queuing system with multiple servers

Cites Work

• Dynamical modelling of a genetic algorithm
• Modeling by shortest data description
• Scalability of the Bayesian optimization algorithm.
• Evolutionary design of Sugeno-type fuzzy systems for modelling humanoid robots
• Integration of genetic optimisation and neuro-fuzzy approximation in parametric engineering design
• Application of genetic algorithms to robot kinematics calibration
• Fisher information and stochastic complexity

This page was built for publication: Population sizing for inductive linkage identification