基于遗传蚁群算法的产品配色方法研究

The Method Study of Harmonizing Colors in Product Based on Genetic-Ant Colony Algorithm

论文结合遗传算法和蚁群算法在优化组合方面的优势,将其融入到工业设计的产品配色当中。首先,利用遗传算法对已有的整个色彩方案库进行搜索,产生有关问题的初始解集,然后,利用蚁群算法的并行性、正反馈机制以及求解效率高等特征寻求最优解。最后,以油罐车整车的配色设计为例进行了色彩优化设计,对优化后的方案应用模糊评价法进行评价,验证了该产品配色方法的有效性。论文提出的方法克服了两种算法各自的缺陷,优势互补,提高了产品配色的效率和智能化设计水平。

The method combines the advantages in optimization grouping of genetic algorithms and ant colony algorithm, and blends it into the product color combination design of industrial design. Firstly, the whole color program libraries is searchedby using genetic algorithms to produce the original solution set of relevant issues. Then the characters of ant colony algorithm such as parallelism, mechanism of positive feedback and high sufficient solving problems are used to obtain the optimal solution. Finally, the color combination design of tank truck vehicle is taken as an example to proceed color optimization design, and access the result with fuzzy evaluation. The effectiveness of the method is proved. The method overcomes the defects of two algorithms, absorbs their advantages, and improves the efficiency of product color combination design and the intelligent design level.