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BibTex format

author = {Chen, L and Wang, P and Shi, F and Han, J and Childs, PRN},
doi = {10.21278/idc.2018.0375},
pages = {1815--1824},
title = {A computational approach for combinational creativity in design},
url = {},
year = {2018}

RIS format (EndNote, RefMan)

AB - © 2018 Faculty of Mechanical Engineering and Naval Architecture. Creativity is essential for innovative design. As an important topic in computational creativity research, how to model and generate creativity has sparked much interest. In this paper, combinational creativity is explored to provide potential semantic solutions and to generate visually synthesized solutions based on a given combination. This is achieved by a data-driven module and an artificial intelligence module respectively, which have been implemented as a creativity tool used in a design case study to demonstrate their effectiveness for assisting combinational creativity design.
AU - Chen,L
AU - Wang,P
AU - Shi,F
AU - Han,J
AU - Childs,PRN
DO - 10.21278/idc.2018.0375
EP - 1824
PY - 2018///
SN - 1847-9073
SP - 1815
TI - A computational approach for combinational creativity in design
UR -
ER -