色彩設計是一個經濟且有效創造產品吸引力的最佳策略。在設計初期，如何針對目標族群創造出大量且多樣化的色彩計畫是重要的。這些色彩計畫能幫助設計師快速的找到一些好的色彩方案，並且給與設計團隊腦力激盪的想法。一個產品的色彩計畫包含由產品構件與裝飾性圖樣所形成色彩組合，這些色彩組合能強烈的影響顧客的感受，並且進而引發他們的購買動機。然而，卻僅有非常少的研究討論到這個議題。
本研究提出一個產品色彩計劃諮詢與模擬系統，協助設計師能同時對產品構件與裝飾性圖樣取得最佳化的色彩計畫。本系統包含兩部分：一是運用互動式基因遺傳演算法所建立的創造性演化系統，它能與設計師互動取得創新的設計方案；二是延伸區域萃取演算法所建立的色彩模擬系統，它能將色彩計畫模擬於產品構件與裝飾性圖樣上。最後，一個摩托車產品的色彩設計案例，被用來驗證系統執行的可行性，並且本研究所提出的方法也可應用於其他設計領域。

Color design is one of the best strategies to create attractiveness of a product economically and effectively. In the conceptual phase of a design process, it is important to create numerous and varied possible color plans for the target consumer group. These color plans help individual designers quickly find a few good color design schemes and give the design team ideas for brain storming. The color plan of a product consists of the color combinations of its components and decorative patterns, which strongly influence the feelings of customers and thus their desire to purchase. However, very few studies have discussed these issues.
In this study, a consultation and simulation system for product color planning that helps designers obtain optimal color plans for the components and decorative patterns of a product is proposed. This system includes two parts: one employs a interactive genetic algorithm (IGA) to establish a creative evolutionary system that can interact with a designer to explore novel design schemes; the other extends the boundary extract algorithm to establish a color simulation system that can apply colors to the areas of product components and decorative patterns for color simulation. At the end of this paper, a case study of color planning for a motorcycle model is performed to verify the feasibility of this system. Thought the product color planning is used as an example in this study, the method can also be used in other design fields.

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