| id |
caadria2024_407 |
| authors |
Dedeler, Elif Gamze and Bittermann, Michael S. |
| year |
2024 |
| title |
A Pattern Coloring Method Using Rank-Based Interactive Evolutionary Algorithm |
| doi |
https://doi.org/10.52842/conf.caadria.2024.1.019
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 19–28 |
| summary |
Interactive evolutionary algorithm (IEA) is a form of evolutionary computation designed to utilize information provided through human subjective assessments. This study proposes a design method based on an interactive evolutionary algorithm using a non-dominated sorting method that is well-known in the context of multi-objective evolutionary algorithm. The method developed is applied to a coloured geometric pattern as a graphic design element. The aim of this experiment is to investigate and evaluate a pattern coloring method using IEA that have the potential to augment creativity by providing robust support for exploration process of designers. The questions to the participants were designed to capture participants' perspectives on various aspects of the experiment, including satisfaction with the IEA, confidence in the exploration process, inspiration drawn from the generated designs in terms of visual pattern perception and color combinations. The results from the questionnaire showed that IEA can contribute the designers creative exploration process, become influential in visual perception of the patterns and supports initial design phase. |
| keywords |
evolutionary algorithm, pattern, interactive design, pattern colouring, creative exploration |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (841,011 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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