Abstract: 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.

Key words: industrial design, genetic ant colony algorithm, product color combination
design