Method for Parameter Tuning of Hybrid Optimization Algorithms for Problems with High Computational Costs of Objective Function Evaluations
In this paper, the authors focus on presenting the methodology for tuning optimization algorithm parameters, with a special focus on evolutionary algorithm applications. The problem considered concerns the phenomenon of nonlinear buckling of the automotive shock absorber, which itself is solved usin...
Main Authors: | Przemysław Sebastjan, Wacław Kuś |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/10/6307 |
Similar Items
-
Metamodels Resulting from Two Different Geometry Morphing Approaches Are Suitable to Direct the Modification of Structure-Born Noise Transfer in the Digital Design Phase
by: Timo von Wysocki, et al.
Published: (2020-11-01) -
Towards Development of a High Abstract Model for Drone Forensic Domain
by: Amel Ali Alhussan, et al.
Published: (2022-04-01) -
Metamodels’ Development for High Pressure Die Casting of Aluminum Alloy
by: Eva Anglada, et al.
Published: (2021-10-01) -
Kriging-Based Framework Applied to a Multi-Point, Multi-Objective Engine Air-Intake Duct Aerodynamic Optimization Problem
by: Przemysław S. Drężek, et al.
Published: (2023-03-01) -
Simulation Metamodelling of Manufacturing Processes
by: Silvia Palajova, et al.
Published: (2011-12-01)