A consultation and simulation system for product color planning based on interactive genetic algorithms

Abstract

In the early stage 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 brainstorming. 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 the optimal color planning for components and decorative patterns of a product is proposed. This system includes two parts: one uses the interactive genetic algorithm 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. Finally, a case study of color planning for a motorcycle model is used to verify the feasibility of the proposed system. © 2012 Wiley Periodicals, Inc. Col Res Appl, 38, 375–390, 2013

Research on color optimization of tricolor product considering color harmony and users' emotion

“…The evolutionary algorithm has been applied to the optimization of color design, of which genetic algorithm (GA) has been widely used to find the optimal solutions among all possible solutions. Interactive GA has been used to obtain the optimal color schemes that meet the requirements of customers' preference and users' emotional evaluation . Users' demands for product color design are often diversified, single‐objective optimization is difficult to meet their actual needs.…”

Quantifying Aesthetics of Visual Design Applied to Automatic Design

“…We believe that color semantics is a legitimate challenge to be addressed in various venues of HCI: in automatic design [107][108][109][110][111][112], design by example [113][114][115][116], design grammar [117], design of user interaction [118][119][120][121][122][123][124][125], quantifying aesthetics of design [26,28,99], user experience design [126][127][128][129][130][131][132], and color design [40,[133][134][135][136][137][138]. For instance, in design by example, although users are supported by a pool of designs and some mechanisms help them choose their preferred designs [116], there is no well-defined interaction to understand the user's purpose of designs or what color combinations should be selected from their preferred designs.…”

Multiemotional product color design using gray theory and nondominated sorting genetic algorithm‐III

“…On the other hand, in the optimization stage of product color design, some artificial intelligent algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE), are commonly used to solve product color design models to produce product color design schemes that can satisfy the emotional demands and preferences of users. These methods cannot generate the trade‐offs between conflicting objectives without an effective multiobjective optimizer.…”