- author = "Yavuz Selim Dogan and Fatih V. Celebi and Hilal Kaya",
- booktitle = "2017 10th International Conference on Electrical and Electronics Engineering (ELECO)",
- title = "Using evolutionary algorithms for designing {3D} novel objects",
- year = "2017",
- pages = "799--803",
- month = "30 " # nov # "-2 " # dec,
- address = "Bursa, Turkey",
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-5386-1723-6",
-
URL = "
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=8266225",
- size = "5 pages",
-
abstract = "Multicellular creatures start their life cycle by
self-replication of the starting cell (the zygote)
according to the instructions written in the DNA. The
rules, written in the DNA, determine the final design
of the organism. This process can be simulated in a
digital environment, improved by evolutionary process
and can be used to produce inventive designs.
The purpose of this study is to test the ability of computers to make novel designs by mimicking embryological development. A program, developed for this, produces cube-shaped symbolic cells. Shapes emerging from the combination of hundreds of cells are compared to target shapes. DNAs of shapes are evolved by genetic programming to increase the similarity to the target shape. In the tests made with 4 different target shapes, it has been observed that the implemented system can make voxel based designs with the success rate between 53percent and 85percent.",
- notes = "Also known as \cite{8266225}",
