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A lattice based evolution scheme with applications to design optimization

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2 Author(s)
Xiyu Liu ; School of Management and Economics, Shandong Normal University, Jinan, 250014, China ; Hong Liu

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.

Published in:

Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on

Date of Conference:

22-24 April 2009