Advances of Soft Computing in Engineering by Zenon Waszczyszyn

By Zenon Waszczyszyn

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Sisk, G. (1999). The use of a GA-Based DSS for realistically constrained building design. D. thesis, Cardiff University. Weisstein, E. (accessed 2005). Circle point picking - mathworld - a wolfram web resource. html. Wolpert, D. and MacReady, W. (1997). No free lunch theorems for optimization. IEEE Trans. on Evolutionary Computing. Yang, Y. (2000). Genetic programming for structural optimization. D. thesis, Nanyang Technological University. Zhang, Y. and Miles, J. (2004). Representing the problem domain in stochastic search algorithms.

For the reader who wishes to know more a good starting point for generative representations is Hornby (2003) and for generative geometries, Leyton (2001). Progress to date in implementing these approaches is described in Miles et al. (2007). Bibliography Borkowski, A. and Grabska, E. (1995). Representing designs by composition graphs. , editor, Knowledge Support Systems in Civil Engineering, pages 27–36. IABSE, Zurich. Bradshaw, J. (1996). Deriving strategies for reducing pollution damage using a genetic algorithm.

The Figure 18. Invalid Partitioning third section of the genome is assumed to be fixed throughout the building therefore every genome has an identical section 3. 21 Evolutionary operators The same evolutionary operators described previously are applied to each rectangular partition. However, to ensure column continuity some additional steps are applied:  Mutation: Having selected the individual to mutate, the mutation operator randomly chooses, with uniform probability one partition of the building.

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