Title :
A lattice based evolution scheme with applications to design optimization
Author :
Liu, Xiyu ; Liu, Hong
Author_Institution :
Sch. of Manage. & Econ., Shandong Normal Univ., Jinan
Abstract :
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.
Keywords :
Markov processes; design engineering; genetic algorithms; search problems; Markov analysis; design optimization; genetic algorithm; lattice based evolution scheme; search paradigm; vector valued fitness function; Application software; Art; Biology computing; Collaborative work; Conference management; Design optimization; Evolution (biology); Genetic algorithms; Humans; Lattices; design optimization; evolution; lattice; partial ordering;
Conference_Titel :
Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on
Conference_Location :
Santiago
Print_ISBN :
978-1-4244-3534-0
Electronic_ISBN :
978-1-4244-3535-7
DOI :
10.1109/CSCWD.2009.4968145