| id |
ijac202321407 |
| authors |
Fernando, Ruwan and Ruby Michael |
| year |
2023 |
| title |
Solving planning problems with evolutionary computation |
| source |
International Journal of Architectural Computing 2023, Vol. 21 - no. 4, 679-694 |
| summary |
Evolutionary design (ED) is a strategy that makes use of computational power to couple generative techniques with evaluation methods, to put forward designs that are better with each iteration. In this research, we present a representation scheme for solving spatial layout problems that is simple to implement as well as extend. The mechanisms for evaluation and mutation are defined and also shown to be extendable. Ultimately, the topic explored here is the ways in which ED and computation can enhance our design thinking and how computers can provide the background to new design processes and workflows. |
| keywords |
Evolutionary design, evolutionary thinking, genetic algorithms, spatial planning, problem solving |
| series |
journal |
| references |
Content-type: text/plain
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| last changed |
2024/04/17 14:30 |
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