Advances of Soft Computing in Engineering by Zenon Waszczyszyn

By Zenon Waszczyszyn

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Web site 1, MIT. de Berg, M. (2000). Computational geometry: algorithms and applications. Springer-Verlag, 1st edition. Deb, K. and Gulati, S. (2001). Design of truss structures for minimum weight using genetic algorithms. Finite Element Analysis and Design. Gere, J. and Timoshenko, S. (1997). Mechanics of materials. PWS publishing Company, 4th edition. Goldberg, D. (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley, 1st edition. Grierson, D. and Khajehpour, S.

This continuity is vital to prevent the building from becoming a series of blocks that when placed together do not form a coherent solution. For example, in Figure 18 when considered in isolation each section is valid however, when considered as a whole, the building’s layout is flawed because the columns do not align. 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.

7 Creating the Initial Population In the initial population for each individual the bay dimensions are chosen randomly although obviously account has to be taken of the overall dimensions input by the user and the ranges of available values are restricted based on the Genetic Algorithms for Design 27 dimensions of the grids which have been indicated by the user. The main challenge is to generate column layouts which do not violate the constraints. The other parameters are likewise generated randomly using values from the available predetermined ranges.

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