Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation

Parameter selection for particle swarm optimization based on Stochastic multi-objective optimization

2015 Chinese Automation Congress (CAC) ◽

10.1109/cac.2015.7382846 ◽

2015 ◽

Cited By ~ 3

Author(s):

Ming Xu ◽

JiangPing Gu

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Parameter Selection ◽

Swarm Optimization ◽

Multi Objective ◽

Selection For

Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA

2018 IEEE International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw.2018.00134 ◽

2018 ◽

Author(s):

David Grob ◽

Mehmet Vurkac ◽

Agnieszka Miguel ◽

Mirka Mandich ◽

Rana Bayrakcsmith

Keyword(s):

Pareto Optimization ◽

Parameter Selection ◽

Robust Pca ◽

Multi Objective ◽

Motion Computation ◽

Quality Of Motion

Efficient design parameter selection for nonlinear bearings to achieve multi-objective optimization of seismic performance of girder bridges by utilizing the stochastic structural response of equivalent linear systems

Bulletin of Earthquake Engineering ◽

10.1007/s10518-021-01196-9 ◽

2021 ◽

Author(s):

Xinhao He ◽

Akira Igarashi

Keyword(s):

Linear Systems ◽

Seismic Performance ◽

Design Parameter ◽

Structural Response ◽

Parameter Selection ◽

Efficient Design ◽

Multi Objective ◽

Girder Bridges ◽

Selection For

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/icsmc.2012.6378235 ◽

2012 ◽

Cited By ~ 3

Author(s):

Pericles B. C. de Miranda ◽

Ricardo B. C. Prudencio ◽

Andre Carlos P. L. F. de Carvalho ◽

Carlos Soares

Keyword(s):

Parameter Selection ◽

Optimization Approach ◽

Multi Objective ◽

Meta Learning

Multi-objective optimization and Meta-learning for SVM parameter selection

The 2012 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2012.6252378 ◽

2012 ◽

Cited By ~ 5

Author(s):

Pericles B. C. Miranda ◽

Ricardo B. C. Prudencio ◽

Andre Carlos P. L. F. de Carvalho ◽

Carlos Soares

Keyword(s):

Parameter Selection ◽

Multi Objective ◽

Meta Learning

Multi-objective optimization for parameter selection and characterization of optical flow methods

Applied Soft Computing ◽

10.1016/j.asoc.2016.01.037 ◽

2016 ◽

Vol 46 ◽

pp. 1067-1078

Author(s):

Jose Delpiano ◽

Luis Pizarro ◽

Rodrigo Verschae ◽

Javier Ruiz-del-Solar

Keyword(s):

Optical Flow ◽

Parameter Selection ◽

Study on Multi-Objective Optimization Based on Generalized Satisfactory Degree Theory for Transportation Capability of Railway-Network

Traffic And Transportation Studies (2002) ◽

10.1061/40630(255)132 ◽

2002 ◽

Cited By ~ 2

Author(s):

Xin-Sheng Yao ◽

Hong-Zhong Huang ◽

Zhong-Rong Zhou

Keyword(s):

Degree Theory ◽

Railway Network ◽

Multi Objective ◽

Satisfactory Degree

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Informatica ◽

10.15388/informatica.2015.37 ◽

2015 ◽

Vol 26 (1) ◽

pp. 33-50 ◽

Cited By ~ 16

Author(s):

Ernestas Filatovas ◽

Olga Kurasova ◽

Karthik Sindhya

Keyword(s):

Evolutionary Algorithm ◽

Nsga Ii ◽

A Design of a Simple Evolutionary Multi-objective Optimization Method Based on the Combined Use of Scalarization and Particle Swarm Optimization

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.42 ◽

2012 ◽

Vol 132 (1) ◽

pp. 42-52

Author(s):

Kazuaki Masuda ◽

Kazuaki Harada ◽

Kenzo Kurihara

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Optimization Method ◽

Swarm Optimization ◽

Multi Objective ◽

Combined Use

Multi-objective Optimization Method for Distribution System Configuration using Pareto Optimal Solution

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.128.1208 ◽

2008 ◽

Vol 128 (10) ◽

pp. 1208-1216 ◽

Cited By ~ 3

Author(s):

Yasuhiro Hayashi ◽

Hirotaka Takano ◽

Junya Matsuki ◽

Yuji Nishikawa

Keyword(s):

Distribution System ◽

Optimal Solution ◽

Optimization Method ◽

Pareto Optimal Solution ◽

Pareto Optimal ◽

System Configuration ◽