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

Efficient Design ◽

Multi Objective ◽

Girder Bridges ◽

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 ◽

Comprehensive and Efficient Design Parameter Selection for Soft Error Resilient Processors via Universal Rules

IEEE Transactions on Computers ◽

10.1109/tc.2013.24 ◽

2014 ◽

Vol 63 (9) ◽

pp. 2201-2214 ◽

Cited By ~ 6

Author(s):

Lide Duan ◽

Ying Zhang ◽

Bin Li ◽

Lu Peng

Keyword(s):

Design Parameter ◽

Parameter Selection ◽

Soft Error ◽

Efficient Design ◽

Error Resilient ◽

Efficient parent selection for Approximation-Guided Evolutionary multi-objective optimization

2013 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2013.6557784 ◽

2013 ◽

Cited By ~ 5

Author(s):

Markus Wagner ◽

Tobias Friedrich

Keyword(s):

Multi Objective ◽

Parent Selection ◽

Efficient Design of Cosine-Modulated Filter Banks Using Evolutionary Multi-objective Optimization

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-35380-2_92 ◽

2012 ◽

pp. 785-792 ◽

Cited By ~ 1

Author(s):

Md. Nasir ◽

Soumyadip Sengupta ◽

Swagatam Das

Keyword(s):

Filter Banks ◽

Efficient Design ◽

Multi Objective

Methods in Molecular Biology - Computational Methods for Estimating the Kinetic Parameters of Biological Systems ◽

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

10.1007/978-1-0716-1767-0_4 ◽

2021 ◽

pp. 65-89

Author(s):

Yadira Boada ◽

Jesús Picó ◽

Alejandro Vignoni

Keyword(s):

Kinetic Parameter ◽

Parameter Selection ◽

Multi Objective

Comparison between Different Products by Disassembly System Design with Parts Selection for Cost, Recycling and CO2 Saving Rates Using Multi-objective Optimization

2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI) ◽

10.1109/iiai-aai.2018.00145 ◽

2018 ◽

Author(s):

Kento Igarashi ◽

Tetsuo Yamada ◽

Norihiro Itsubo ◽

Masato Inoue

Keyword(s):

System Design ◽

Multi Objective ◽

Saving Rates ◽

Parametric Control to Second-Order Quasi-Linear Systems Based on Dynamic Compensator and Multi-Objective Optimization

IEEE Access ◽

10.1109/access.2019.2918276 ◽

2019 ◽

Vol 7 ◽

pp. 67287-67304 ◽

Cited By ~ 4

Author(s):

Yin-Dong Liu ◽

Da-Wei Zhang ◽

Li-Mei Wang ◽

Da-Ke Gu

Keyword(s):

Linear Systems ◽

Second Order ◽

Multi Objective ◽

Parametric Control ◽

Dynamic Compensator

Design parameter selection for a distillation system coupled to a solar parabolic trough collector

Desalination ◽

10.1016/s0011-9164(99)00041-7 ◽

1999 ◽

Vol 122 (2-3) ◽

pp. 195-204 ◽

Cited By ~ 21

Author(s):

L. García-Rodríguez ◽

C. Gómez-Camacho

Keyword(s):

Design Parameter ◽

Parameter Selection ◽

Parabolic Trough ◽

Parabolic Trough Collector ◽

Distillation System ◽

Robust Parameter Set Selection for a Hydrodynamic Model Based on Multi-Site Calibration Using Multi-Objective Optimization and Minimax Regret Approach

Water Resources Management ◽

10.1007/s11269-018-2031-4 ◽

2018 ◽

Vol 32 (12) ◽

pp. 3979-3995

Author(s):

Li Li ◽

Eun-Sung Chung ◽

Kyung Soo Jun

Keyword(s):

Hydrodynamic Model ◽

Minimax Regret ◽

Multi Objective ◽

Model Based ◽

Robust Parameter ◽

Advances in Intelligent and Soft Computing - Soft Computing in Industrial Applications ◽

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach

10.1007/978-3-642-11282-9_12 ◽

2010 ◽

pp. 109-115 ◽

Cited By ~ 2

Author(s):

Fernando Mendes ◽

João Duarte ◽

Armando Vieira ◽

António Gaspar-Cunha

Keyword(s):

Feature Selection ◽

Bankruptcy Prediction ◽

Optimization Approach ◽

Multi Objective ◽