Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
L. BEJAN1,* , A. SÎRBU2
The purpose of this paper is to exploit genetic algorithms for the optimization of several characteristics of the woven composite materials as function of the nature of the polymer chosen as matrix, of the nature of fibres, and of the fabric geometrical parameters. Simulation results and comparative analyses with experimental data are presented.
Woven composite materials, Optimization, anisotropy, Genetic algorithms.
L. BEJAN, A. SÎRBU, Genetic algorithm-based optimization of advanced materials, Optoelectronics and Advanced Materials - Rapid Communications, 2, 12, December 2008, pp.846-850 (2008).
Submitted at: Sept. 2, 2008
Accepted at: Dec. 4, 2008
Optoelectronics and Advanced Materials - Rapid Communications
(2024): Impact Factor = 0.4 - Journal Citation Reports (Clarivate Analytics, 2025)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.