| authors |
Maher, M.L. and Poon, J. |
| year |
1996 |
| title |
Modelling design exploration as co-evolution |
| source |
Microcomputers in Civil Engineering, 11:192-207 |
| summary |
Most computer-based design tools assume designers work with a well defined problem. However, this assumption has been challenged by current research. The explorative aspect of design, especially during conceptual design, is not fully addressed. This paper introduces a model for problem-design exploration, and how this model can be implemented using the genetic algorithm (GA) paradigm. The basic GA, which does not support our exploration model, evaluates individuals from a population of design solutions with an unchanged fitness function. This approach to evaluation implements search with a prefixed goal. Modifications to the basic GA are required to support exploration. Two approaches to implement a co-evolving GA are presented and discussed in this paper: one in which the fitness function is represented within the genotype, and a second in which the fitness function is modelled as a separately evolving population of genotypes. |
| series |
journal paper |
| email |
|
| full text |
 file.pdf (101,259 bytes) |
| references |
Content-type: text/plain
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| last changed |
2003/04/23 15:50 |
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