Preference Genetic Algorithm for Wool Dyeing Color Matching
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Solution Overview
Problem
Current color matching methods in wool textile production rely heavily on experience and repeated testing, leading to inefficiencies and long production cycles, especially in meeting market demands for 'small batch, multiple varieties, and fast delivery', with insufficient interactivity in color matching solutions.
Innovation Solution
A dyeing color matching method and system based on a preference genetic algorithm, which initializes a color scheme set using a genetic algorithm, conducts crossover and mutation, determines crowding distances, and selects color schemes that best satisfy customer requirements through a conventional model, ultimately calculating a color difference to achieve a best monochrome composition scheme.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional color matching methods relying on experience and repeated testing are used, then color matching can be achieved, but production cycle is long and efficiency is low
Solution Approach 1:
The patent pre-establishes a color matching database by collecting and storing color scheme data, reflectivity data, and dyeing process parameters before actual production. This preliminary action enables the system to quickly retrieve and analyze historical data during color matching, eliminating the need for repeated physical testing and significantly reducing production cycle time while maintaining high color matching efficiency
Solution Approach 2:
The patent replaces the traditional mechanical trial-and-error color matching process with a computer-based information processing system. The system uses databases, algorithms, and software to automatically analyze color requirements, retrieve matching schemes, and predict dyeing results, substituting manual experience-based methods with automated intelligent processing to achieve both speed and accuracy
2Adaptability or versatility
If conventional color matching methods are used, then color matching can be achieved, but interactivity is not high
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors user interactions with the color matching interface, analyzes customer requirements, and dynamically adjusts color scheme recommendations. The system provides real-time feedback on color differences, matching accuracy, and alternative solutions, enabling high interactivity where users can iteratively refine their color requirements and receive immediate system responses, greatly enhancing user engagement and adaptability
3Productivity
If a large number of color schemes are generated through crossover and mutation, then color matching solutions are improved, but computational complexity increases
Solution Approach 1:
The patent segments the color matching problem into distinct computational stages: initialization of color schemes, crossover operations to combine features, mutation operations to introduce variability, and selection based on fitness evaluation. By dividing the complex algorithm into modular segments, the system can efficiently generate diverse color schemes while managing computational complexity through structured processing steps and parallel computation where applicable
Data Source
AI summary
A dyeing color matching method and system based on a preference genetic algorithm includes: obtaining a reflectivity of a color scheme sample and a first color scheme set having N color schemes; initializing the first color scheme set using a preference genetic algorithm to obtain an initialized color scheme set; conducting crossover and mutation on any two color schemes in the initialized set to obtain a second color scheme set having 2N color schemes; substituting the color schemes in the second set into the conventional model to obtain 2N model reflectivities; determining a third color scheme set according to the 2N model reflectivities; determining whether a color scheme that satisfies a customer's requirement exists in the third set; if yes, conducting proofing on the color scheme to obtain a proofing color scheme set; and determining a color scheme with a minimum color difference according to the proof color scheme.