考虑不确定因素的产品色彩智能设计理论与方法研究

Color is a key factor which affects consumers to purchase and use products. Product color design has already become the focus problem that domestic and overseas academic circles study. While the uncertainty that is brought by uncertain factors has brought new challenge to product color design.. This project takes image perception as research object. According to the uncertain problem that results in the variation of consumers' color image perception, it proposes the theory and method of product color intelligent design considering uncertain factors. This project studies the nonlinearity between product color and consumers' image perception, and constructs product color image evaluation model that adapts to the variation of product structural features; it studies the causes and solutions of the subjective uncertainties that is resulted from human factors, and proposes the product color intelligent design method that meets consumers' actual image requirements; it also studies the intelligent algorithm that can solve complicated optimization problems, and develops new biological heuristic algorithm. Thus, this project has important theoretical significance and practical value to solve the uncertain design problems and enhance the quality of product color design.

产品色彩是决定消费者购买和使用产品的重要因素。产品色彩设计问题已成为国内外学术界共同的焦点问题，而产品色彩设计所面临的由不确定因素所带来的不确知性，给产品色彩设计带来新的挑战。.本项目以消费者的意象感知为研究对象，针对产品色彩设计过程中导致消费者色彩意象感知发生变化的不确定问题，提出考虑不确定因素的产品色彩智能设计理论与方法。研究由产品结构特征导致的客观不确定因素影响下的产品色彩与消费者意象感知间的非线性关系，建构能够适应产品结构特征变化的产品色彩意象评价模型；研究产品色彩自动化设计阶段由人为因素导致的主观不确定因素的成因及解决方案，提出能够产生符合消费者真实意象需求的产品色彩智能设计方法；研究能够求解复杂优化问题的智能算法，开发适合求解产品色彩设计多目标优化问题的新型生物启发式算法。本项目的研究对于解决产品色彩设计中的不确定问题，提高产品色彩设计品质，具有重要理论意义和实用价值。

本项目以智能制造模式下的工业产品色彩设计为研究背景，应用一系列基于生物行为的新型智能优化算法，重点解决工业产品色彩的意象评价、模糊优化设计、多维情感优化设计等问题，从而为智能制造理论提供智能决策支持方法，并提高生物启发式计算理论与方法在智能制造服务、智能设计及模式创新等领域中的应用深度和广度。具体研究成果包括：建立了考虑色彩空间分布的产品色彩意象评价模型、多工作模式产品色彩意象评价模型、多维情感产品色彩设计模型；提出产品色彩模糊设计优化方法，并设计一系列新型生物启发式算法求解单、多模态工业产品优化实例。