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Taborda, B., de Almeida, A., Santos, F., Eloy, S. & Kwiecinski, K. (2018). Shaper-GA: automatic shape generation for modular house design. In 2018 Genetic and Evolutionary Computation Conference, GECCO 2018. (pp. 937-942). Tokyo: ACM.
B. M. Taborda et al., "Shaper-GA: automatic shape generation for modular house design", in 2018 Genetic and Evolutionary Computation Conf., GECCO 2018, Tokyo, ACM, 2018, pp. 937-942
@inproceedings{taborda2018_1730727794823, author = "Taborda, B. and de Almeida, A. and Santos, F. and Eloy, S. and Kwiecinski, K.", title = "Shaper-GA: automatic shape generation for modular house design", booktitle = "2018 Genetic and Evolutionary Computation Conference, GECCO 2018", year = "2018", editor = "", volume = "", number = "", series = "", doi = "10.1145/3205455.3205609", pages = "937-942", publisher = "ACM", address = "Tokyo", organization = "", url = "https://dl.acm.org/citation.cfm?doid=3205455.3205609" }
TY - CPAPER TI - Shaper-GA: automatic shape generation for modular house design T2 - 2018 Genetic and Evolutionary Computation Conference, GECCO 2018 AU - Taborda, B. AU - de Almeida, A. AU - Santos, F. AU - Eloy, S. AU - Kwiecinski, K. PY - 2018 SP - 937-942 DO - 10.1145/3205455.3205609 CY - Tokyo UR - https://dl.acm.org/citation.cfm?doid=3205455.3205609 AB - This work presents a Genetic Algorithm (GA) approach to produce automatic designs for modular houses: Shaper-GA. A set of architectural design rules defining a language of design is incorporated into the GA fitness function. When possible genetic drift or local convergence might be occurring, the method starts an adaptive mutation rate to overcome fitness stagnation. The GA tool efficiently produces several layout solutions obeying the design rules and further placement constraints. Such a tool can be integrated into an appropriate user interface allowing future house owners to customize their own house or construction companies to answer client's' requirements while complying with a language of design. ER -