A platform for research: civil engineering, architecture and urbanism
Analyzing Fe-Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms
Analyzing Fe-Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms
Analyzing Fe-Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms
Bhattacharya, B. (author) / Dinesh Kumar, G. R. (author) / Agarwal, A. (author) / Erkoc, S. (author) / Singh, A. (author) / Chakraborti, N. (author)
COMPUTATIONAL MATERIALS SCIENCE ; 46 ; 821-827
2009-01-01
7 pages
Article (Journal)
English
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Tailor-made material design: An evolutionary approach using multi-objective genetic algorithms
British Library Online Contents | 2009
|Co-operative co-evolutionary genetic algorithms for multi-objective topology design
British Library Conference Proceedings | 2005
|Multi-Objective Optimization of Spectra Using Genetic Algorithms
British Library Online Contents | 2001
|Multi-objective Acceleration Feedback Control Using Genetic Algorithms
British Library Conference Proceedings | 1999
|