Optimal lay-up of hybrid composite beams, plates and shells using cellular genetic algorithm

2003 ◽  
Vol 16 (5) ◽  
pp. 557-580 ◽  
Author(s):  
S. Rajasekaran ◽  
K. Nalinaa ◽  
S. Greeshma ◽  
N.S. Poornima ◽  
V. Vinoop Kumar
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Composite ◽  
Composite Beams ◽  
Cellular Genetic Algorithm ◽  
Plates And Shells

Optimal lay-up of hybrid composite beams, plates and shells using cellular genetic algorithm

2003 ◽  
Vol 16 (5) ◽  
pp. 557-580
Author(s):  
S. Rajasekaran ◽  
K. Nalinaa ◽  
S. Greeshma ◽  
N.S. Poornima ◽  
V. Vinoop Kumar
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Composite ◽  
Composite Beams ◽  
Cellular Genetic Algorithm ◽  
Plates And Shells

Fibre optic sensors for delamination identification in composite beams using a genetic algorithm

2005 ◽  
Vol 14 (1) ◽  
pp. 287-295 ◽  
Author(s):  
Hang-yin Ling ◽  
Kin-tak Lau ◽  
Li Cheng ◽  
Wei Jin
Keyword(s):  
Genetic Algorithm ◽  
Composite Beams ◽  
Fibre Optic

Multilevel Thresholding for Image Segmentation Based on Cellular Metaheuristics

2018 ◽  
Vol 9 (4) ◽  
pp. 1-32 ◽  
Author(s):  
Mohamed Abdou Bouteldja ◽  
Mohamed Baadeche ◽  
Mohamed Batouche
Keyword(s):  
Genetic Algorithm ◽  
Image Segmentation ◽  
Multilevel Thresholding ◽  
Objective Functions ◽  
Swarm Optimization ◽  
Cellular Genetic Algorithm ◽  
Kapur’S Entropy ◽  
Computationally Expensive ◽  
Segmentation Problem ◽  
Nature Inspired Metaheuristics

This article describes how multilevel thresholding image segmentation is a process used to partition an image into well separated regions. It has various applications such as object recognition, edge detection, and particle counting, etc. However, it is computationally expensive and time consuming. To alleviate these limitations, nature inspired metaheuristics are widely used to reduce the computational complexity of such problem. In this article, three cellular metaheuristics namely cellular genetic algorithm (CGA), cellular particle swarm optimization (CPSO) and cellular differential evolution (CDE) are adapted to solve the multilevel thresholding image segmentation problem. Experiments are conducted on different test images to assess the performance of the cellular algorithms in terms of efficiency, quality and stability based on the between-class variance and Kapur's entropy as objective functions. The experimental results have shown that the proposed cellular algorithms compete with and even outperform existing methods for multilevel thresholding image segmentation.

scholarly journals Modelling of thermal and stress-strain state of transformable space structures from hybrid composite materials

2018 ◽  
Vol 194 ◽  
pp. 01039 ◽  
Author(s):  
Konstanitin Mikhaylovskiy ◽  
Pavel Prosuntsov
Keyword(s):  
Composite Materials ◽  
Thermal Regime ◽  
Circular Orbit ◽  
Hybrid Composite ◽  
Multilayer Structure ◽  
Strain State ◽  
Thermal Control ◽  
Space Structures ◽  
Plates And Shells ◽  
Shock Resistance

The strikes of the meteoroids represent a serious danger for transformable space structures. Multilayer plates and shells made of hybrid composite materials can be effectively used for protection and thermal control of such structures. The results of the analysis of the thermal regime and shock resistance of a multilayer structure flying in a circular orbit 400 km high are presented.

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