Interactive Genetic Algorithm Oriented toward the Novel Design of Traditional Patterns

Lv, Jian; Zhu, Miaomiao; Pan, Weijie; Liu, Xiang

doi:10.3390/info10020036

Cited by 25 publications

(18 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, IGA was applied to the wine glass and car dashboard design, 7 car console design, 8 book cover design, 9 and batik shape pattern. 10 However, the results are usually unsatisfactory due to the consumer's fatigue and the limited population size in traditional IGA. Researchers proposed different IGA-based methods to overcome this problem, such as multi-population, 11 surrogate-assisted, 12 multi-objective, 13 and multi-stage 14 and so on.…”

Section: Introductionmentioning

confidence: 99%

“…Through the evaluation of each generation, the design trend was led by the user. Recently, IGA was applied to the wine glass and car dashboard design, 7 car console design, 8 book cover design, 9 and batik shape pattern 10 . However, the results are usually unsatisfactory due to the consumer's fatigue and the limited population size in traditional IGA.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pattern retrieval of yarn‐dyed plaid fabric based on modified interactive genetic algorithm

Zhang

Pan

Wang

et al. 2020

Color Research & Application

View full text Add to dashboard Cite

With the development of perceptual consumption, consumers sometimes cannot explicitly describe the purchase demands or only based on impression, like the color perception and aesthetic experience. Based on the consumer's expression, it is difficult to design a new fabric by repeated proofing to meet the consumer's demands. To retrieve the existing patterns incorporating human intuition and emotion, this study proposed a novel pattern retrieval method of yarn-dyed plaid fabric using modified interactive genetic algorithm. Each pattern was encoded based on the design elements and visual features were extracted to bridge the semantic gap between the designer and the consumer. Survival of the fittest and two special mutation operators, addition and deletion, were designed to increase the diversity of the generations. During the evolution, the generated patterns were replaced by the most similar patterns in the database based on visual features. Experimental results showed that the proposed scheme is feasible and effective to extract the consumer's preferences and retrieve satisfactory patterns, helping the factory obtain the process sheet to guide production and save labor and material resources.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pattern retrieval of yarn‐dyed plaid fabric based on modified interactive genetic algorithm

Zhang

Pan

Wang

et al. 2020

Color Research & Application

View full text Add to dashboard Cite

show abstract

“…7 Jian Lv introduced a novel design method based on an interactive genetic algorithm with individual fuzzy interval fitness (IGA-BPFIF), which has the error back propagation neural network user cognitive surrogate model. 8 By analyzing and combining the jacket model components, Ogata provided customers with alternative solutions, obtained fitness by interactive scoring by customers, and forms customer satisfaction solutions through genetic operations. 9 Hsiao proposed a clothing consulting and simulation system based on the interactive genetic algorithm to help designers obtain the best matching scheme of product components and decorative patterns.…”

Section: Introductionmentioning

confidence: 99%

3D modeling design and rapid style recommendation of polo shirt based on interactive genetic algorithm

Zhang

Cong

2020

Journal of Engineered Fibers and Fabrics

View full text Add to dashboard Cite

This paper proposes a design method for personalized 3D modeling and a rapid style recommendation of polo shirts based on interactive genetic algorithms. Through the research on the parametric multi-style design method of polo shirts, this paper proposes 3D design methods such as the conversion of 3D models, component splicing, and stripes matching mapping rules. In addition, we establish a coded component library of style parts and striped designs to realize the component modeling of tailor-made styles for polo shirts. Besides, the Interactive Genetic Algorithm (IGA) is introduced in the article. Through the algorithm coding, initial population generation, selection, using the scoring mechanism to obtain the user’s suitability evaluation of the program, crossover, and mutation, etc., gradually generating a user-satisfied polo shirt style model design plan, a personalized rapid style recommendation of the user-oriented polo shirt is established. This system can present tailored polo shirt style for customers, and WYSIWYG, to find the most favorite clothing styles for customers and lower the threshold of clothing design expertise.

show abstract

“…Yang et al [5] used a trapezoidal fuzzy number to express individual fitness, and calculated individual fuzzy fitness based on user evaluation noise at different stages of evolution, so as to alleviate user noise and improve evolution efficiency. Lv et al [6] adopted a Gaussian fuzzy number to represent individual fitness, and constructed a surrogate model to replace user evaluation in the evolution process. Leelathakul et al [7] divided the evolution process into two stages, which includes the evolution of the overall shape and the local feature.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

Zeng

Tang

et al. 2020

Electronics

View full text Add to dashboard Cite

In recent years, intelligent design technology that is based on interactive evolutionary algorithms, namely interactive evolutionary design (IED) systems, has received extensive attention in the computer science, design, and other related literature. However, due to the complexity of design problems and the limitation of human cognitive ability, IED faces several challenges in actual design applications. With the aim to address these problems in the IED, this paper deconstructs the IED of the product styling from the perspective of the cognitive association of the users, and proposes a corresponding cognitive intervention method that is based on the association of information. We built databases of the perceptual evaluation results of typical cases and coded profiles of the typical cases, combined with the corresponding interaction process, to improve the efficiency of creating associations between dissimilar information in the early stages of evolution. Besides, in order to simplify the process of creating associations between similar information, this paper proposes a clustering model of similar information based on explicit and implicit distances. The proposed method is then applied to the evolutionary design of an SUV. The experimental results show that the proposed method reduces the initial and total evaluation time. Therefore, the proposed method improves users’ ability to understand the complex design tasks of IED for product styling, optimizing the interactive evaluation process by guiding designers to efficiently create the cognitive association of information, and increases the effectiveness of adopting IED to solve actual design problems about product styling.

show abstract

Interactive Genetic Algorithm Oriented toward the Novel Design of Traditional Patterns

Cited by 25 publications

References 23 publications

Pattern retrieval of yarn‐dyed plaid fabric based on modified interactive genetic algorithm

Pattern retrieval of yarn‐dyed plaid fabric based on modified interactive genetic algorithm

3D modeling design and rapid style recommendation of polo shirt based on interactive genetic algorithm

Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

Contact Info

Product

Resources

About