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2009 13th International Conference on Computer Supported Cooperative Work in Design
A lattice based evolution scheme with applications to design optimization
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
Xiyu Liu, School of Management and Economics, Shandong Normal University, Jinan, 250014, China
Hong Liu, School of Information Science&Engineering, Shandong Normal University, Jinan, 250014, China
Design optimization is a multi-modal and complex problem which can not be treated successfully in scalar optimizer, such as evolutionary techniques. For typical genetic algorithms, most generalizations and variations do not spread to vector valued fitness functions. In this paper, we first propose a lattice based evolution technique with vector valued fitness function. Then we present a evolutionary searching paradigm for the design optimization problem. We present a simple Markov analysis of the proposed genetic algorithms.
Citation:
Xiyu Liu, Hong Liu, "A lattice based evolution scheme with applications to design optimization," cscwd, pp.728-733, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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