Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions
This paper presents a particle swarm optimizer for production of endurance time excitation functions (ETEFs). These excitations are intensifying acceleration time histories that are used as input motions in endurance time (ET) method. The accuracy of the ET methods heavily depends on the accuracy of...
Main Authors: | Mohammadreza Mashayekhi, Mojtaba Harati, Homayoon E. Estekanchi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-10-01
|
Series: | Engineering Reports |
Subjects: | |
Online Access: | https://doi.org/10.1002/eng2.12048 |
Similar Items
-
Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm
by: Hamid Taghavifar, et al.
Published: (2014-08-01) -
Continuous Prediction of the Gas Dew Point Temperature for the Prevention of the Foaming Phenomenon in Acid Gas Removal Units Using Artificial Intelligence Models
by: Masoud Rohani, et al.
Published: (2017-01-01) -
An imperialist competitive algorithm for a bi-objective parallel machine scheduling problem with load balancing consideration
by: Mansooreh Madani-Isfahani, et al.
Published: (2013-04-01) -
A PSO-SVM-based 24 Hours Power Load Forecasting Model
by: Yu Xiaoxu, et al.
Published: (2015-01-01) -
A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
by: R. Roustaei, et al.
Published: (2018-03-01)