Computer-aided product colour planning for multi-working modes product using the synthesised evaluation method and difference evolution

In this paper, a computer-aided product colour planning system for multi-working modes product was presented according to colour-combination features of the multi-working modes product. This system can help a designer to evaluate and generate the colour-combination schemes of multi-working modes product. A synthesised evaluation method, which is an evaluation principle of the computer-aided product colour planning system, was proposed in this paper to evaluate colour-combination image for the multi-working modes product. Then a mathematical model was developed to generate optimal colour-combination schemes of multi-working modes product based on the proposed evaluation method and difference evolution (DE). DE was employed to search for colour-combination schemes which can most closely meet the required image. The application on a two-coloured hair-drier was provided to demonstrate the effectiveness of the product colour planning method and system, which produce the intended result by using the proposed method.

[1]  Shih-Wen Hsiao,et al.  Use of gray system theory in product‐color planning , 2004 .

[2]  Min-Yuan Ma,et al.  A design decision-making support model for customized product color combination , 2007, Comput. Ind..

[3]  Riccardo Poli,et al.  New ideas in optimization , 1999 .

[4]  Hung-Cheng Tsai,et al.  Computer Aided Product Color Design with Artificial Intelligence , 2007 .

[5]  Jyh-Rong Chou,et al.  Automatic design support and image evaluation of two-coloured products using colour association and colour harmony scales and genetic algorithm , 2007, Comput. Aided Des..

[6]  Yukihiro Matsubara,et al.  An automatic builder for a Kansei Engineering expert system using self-organizing neural networks , 1995 .

[7]  Shih-Wen Hsiao,et al.  An image evaluation approach for parameter-based product form and color design , 2006, Comput. Aided Des..

[8]  Sandra Paterlini,et al.  Differential evolution and particle swarm optimisation in partitional clustering , 2006, Comput. Stat. Data Anal..

[9]  Noriaki Muranaka,et al.  Color design support system considering color harmony , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[10]  Kenneth V. Price,et al.  An introduction to differential evolution , 1999 .

[11]  Chung-Hsing Yeh,et al.  User-oriented design for the optimal combination on product design , 2006 .

[12]  Zhao Jiang-hong Research of color design aesthetics evaluation on NC Machine Tools , 2007 .