Parallel global optimization algorithms in optimal design

2005 ◽  
pp. 951-960 ◽  
Author(s):  
Aimo Törn ◽  
Antanas Žilinskas
Keyword(s):  
Global Optimization ◽  
Optimal Design ◽  
Optimization Algorithms

scholarly journals The Challenge for the Nature-inspired Global Optimization Algorithms: Non-symmetric Benchmark Functions

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Zheng-Ming Gao ◽  
Juan Zhao ◽  
Yu-Rong Hu ◽  
Hua-Feng Chen
Keyword(s):  
Global Optimization ◽  
Optimization Algorithms

Optimal design of electromechanical actuators: a new method based on global optimization

1998 ◽  
Vol 34 (1) ◽  
pp. 299-308 ◽  
Author(s):  
F. Messine ◽  
B. Nogarede ◽  
J.-L. Lagouanelle
Keyword(s):  
Global Optimization ◽  
Optimal Design ◽  
New Method ◽  
Electromechanical Actuators

Implementation of Eurocode Load Cases in Optimization Problems of Steel Frames, Based on Genetic Algorithms

2013 ◽  
Vol 310 ◽  
pp. 609-613
Author(s):  
Ioana D. Balea ◽  
Radu Hulea ◽  
Georgios E. Stavroulakis
Keyword(s):  
Finite Element ◽  
Genetic Algorithms ◽  
Global Optimization ◽  
Optimal Design ◽  
Optimization Problems ◽  
Steel Frames ◽  
Global Optimization Algorithm ◽  
Planar Structures ◽  
Discrete Global Optimization ◽  
Steel Sections

This paper presents an implementation of Eurocode load cases for discrete global optimization algorithm for planar structures based on the principles of finite element methods and genetic algorithms. The final optimal design is obtained using IPE sections chosen as feasible by the algorithm, from the available steel sections from industry. The algorithm is tested on an asymmetric planar steel frame with promising results.

On hybridization of stochastic global optimization algorithms taking into account the features of their architecture

2021 ◽  
Vol 1 ◽  
pp. 113-117
Author(s):  
Dmitry Syedin ◽  
Keyword(s):  
Global Optimization ◽  
Stochastic Optimization ◽  
Optimization Algorithms ◽  
Stochastic Global Optimization ◽  
Stochastic Optimization Algorithms ◽  
Pca Algorithm

The work is devoted to the hybridization of stochastic global optimization algorithms depending on their architecture. The main methods of hybridization of stochastic optimization algorithms are listed. An example of hybridization of the algorithm is given, the modification of which became possible due to taking into account the characteristic architecture of the M-PCA algorithm.

Results of two global optimization algorithms applied to a problem in biomechanics

2010 ◽  
Author(s):  
Nicholas R. Radcliffe ◽  
David R. Easterling ◽  
Layne T. Watson ◽  
Michael L. Madigan ◽  
Kathleen A. Bieryla
Keyword(s):  
Global Optimization ◽  
Optimization Algorithms
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