摘要
为满足用户和设计师对产品造型的感性认知,提出基于认可度和交互式单亲遗传算法的产品意象造型创新设计方法。首先确定目标意象和代表性产品样本,进行产品意象调查与分析;然后以产品意象认可度为依据,建立产品意象造型选择机制;最后将选择出的较优产品样本作为父代,利用交互式单亲遗传算法建立产品意象造型创新设计系统,得到最优设计产品。以水瓶设计进行实例研究,结果表明该方法可为产品造型设计提供有效的辅助和支持。
In order to satisfy the perceptual cognition of users and designers for product styling,an innovative design method of product image styling based on recognition degree and interactive partheno-genetic algorithm was presented. Firstly,the target image and the representative product samples were determined,and the product image was investigated and analyzed. Then,the selection mechanism of product image styling was established based on the product image recognition degree. Finally,the innovation design system of product image styling based on interactive partheno-genetic algorithm was set up,and the selected product samples were used as parents samples to get the optimal design products. The result shows that the method can provide effective assistance and support for product styling design.
引文
[1]SU J N,JIANG P Y,LI H Q.Research on kansei image-driven method of product styling design[J].International Journal of Product Development,2009,7(1/2):113-126.
[2]杨涛,杨育,薛承梦,等.考虑客户需求偏好的产品创新设计方案多属性决策评价[J].计算机集成制造系统,2015,21(2):417-426.
[3]万延见,李彦,李文强,等.基于认知多方法集成式产品创新设计策略及实现[J].计算机集成制造系统,2014,20(6):1267-1275.
[4]罗仕鉴,潘云鹤.产品设计中的感性意象理论、技术与应用研究进展[J].机械工程学报,2007,43(3):8-14.
[5]DANJOU S,LUPA N,KOEHLER P.Approach for automated product modeling using knowledge-based design features[J].Computer-Aided Design and Applications,2008,5(5):622-629.
[6]HSIAO S W,CHIU F Y,LU S H.Product-form design model based on genetic algorithms[J].International Journal of Industrial Ergonomics,2010,40(3):237-246.
[7]刘肖健,李桂琴,孙守迁.基于交互式遗传算法的产品配色设计[J].机械工程学报,2009,45(10):222-230.
[8]SAEED K,NAGASHIMA T.Biometrics and Kansei Engineering[M].New York:Springer,2012.
[9]李发权,熊德国,TANG X K,等.设计认知过程研究的发展与分析[J].计算机工程与应用,2011,47(20):24-27.
[10]罗仕鉴,朱上上.用户和设计师的产品造型感知意象[J].机械工程学报,2005,41(10):28-34.
[11]ZHANG S T,SU J N,HU C B,et al.Designers’cognitive thinking based on evolutionary algorithms[J].TELKOMNIKA Indonesian Journal of Electrical Engineering,2014,12(2):1602-1609.
[12]刘征,孙守迁.产品设计认知策略决定性因素及其在设计活动中的应用[J].中国机械工程,2007,18(23):2813-2817.
[13]YURTKAN K,DEMIREL H.Entropy-based feature selection for improved 3D facial expression recognition[J].Signal,Image and Video Processing,2014,8(2):267-277.
[14]杨延璞,余隋怀,陈登凯.运用遗传算法的产品造型设计方案优化方法[J].现代制造工程,2012(3):127-133.
[15]苏建宁,张新新,景楠,等.认知差异下的产品造型意象熵评价研究[J].机械设计,2016,33(3):105-108.
[16]JEDLICKA P,RYBA T.Genetic algorithm application in image segmentation[J].Pattern Recognition and Image Analysis,2016,26(3):497-501.