检索结果-内蒙古大学图书馆

Cultural Heritage Color Regeneration: interactive genetic algorithm Optimization Based on Color Network and Harmony Models

引用

APPLIED SCIENCES-BASEL 2025年第4期15卷 1720-1720页

作者： Jiang, Zhonghua Xia, Qianlong Wang, Zhizhou Zhu, Kaiwei Su, Qianyu Wang, Jiajun Huang, Yirui Wu, Bo Hong, Yan Taiyuan Univ Technol Coll Text Engn Jinzhong 030600 Peoples R China Cent European Fash Inst Newton Business Sch Shenzhen 518000 Peoples R China Taiyuan Univ Technol Sch Software Jinzhong 030600 Peoples R China Taiyuan Univ Technol Sch Artificial Intelligence Jinzhong 030600 Peoples R China Soochow Univ Coll Text & Clothing Engn Suzhou 215021 Peoples R China GEMTEX ENSAIT 2 Allee Louise & Victor Champier F-59056 Roubaix France

In response to the inadequate color-matching effectiveness and the difficulty of restoring color intentions in cultural heritage recreation, a Cultural Color interactive genetic algorithm (Cultural Color IGA) is proposed, which combines a color network model and a color harmony prediction model. First, the role of the color network model in providing color genes for subsequent design is emphasized. Then, a dataset of 10,743 color and color rating data points is used to train 12 color harmony prediction models, with the most efficient stacking model selected to improve the efficiency of user evaluation of color schemes. A prototype system for color regeneration is built in Python, and a user interface is designed. The example analysis is conducted using the Yungang Grottoes as the source of color imagery, and image colorization is tested. Independent experiments compare the proposed method with traditional IGA in terms of average fitness, maximum fitness, and evaluation time. Fuzzy evaluation is applied to assess the effectiveness of cultural heritage color regeneration design. The results show that the trained stacking model achieves an accuracy of 65.52% in color harmony prediction, outperforming previous methods. Compared to the traditional IGA algorithm, Cultural Color IGA reduces the number of user evaluations by 67.4%, improves the average fitness by 22.68%, and increases the maximum fitness by approximately 13.37%. Regarding cultural heritage color regeneration effectiveness, 80.6% of respondents considered the generated color schemes to be of good or higher quality. This method not only generates design solutions with high cultural representation and color harmony but also improves the efficiency and sustainability of the design process by reducing trial numbers and manual evaluation workload. It demonstrates the potential of digital technologies in the protection and sustainable application of cultural heritage color, offering valuable references for the dig

关键词： color network color harmony prediction machine learning interactive genetic algorithm cultural heritage color regeneration

来源：评论

学校读者我要写书评

暂无评论

Wardrobe Furniture Color Design Based on interactive genetic algorithm

引用

BIORESOURCES 2024年第3期19卷 6230-6246页

作者： Ma, Xinyu Chen, Yushu Liang, Qianwei Wang, Jinjing Nanjing Forestry Univ Coll Furnishings & Ind Design Nanjing 210037 Peoples R China

With the change in consumption environment and habits, the active feedback from users on online shopping platforms serves as a valuable source of information for analyzing user demand. Color design is an important factor in shaping product style and influencing user's purchase decisions. This study combines the Latent Dirichlet Allocation (LDA) and an interactive genetic algorithm (IGA) to investigate the usability of the interactive genetic color selection method for wardrobe color design. Firstly, the LDA model was employed to cluster online review data to identify customer requirements (CRs), then summarize the perceptual evaluation factors (EFs) of color selection. Subsequently, the color selection information from market examples was used as reference to establish the initial population, and the interactive genetic color design process was completed with CorelDraw. Then, the fuzzy comprehensive evaluation method was employed to evaluate the color scheme generated from IGA. The empirical analysis demonstrated that the interactive genetic color selection method can effectively enhance both efficiency and satisfaction in wardrobe design. This study has substantial implications for both theory and practice in the field of wardrobe design and offers designers novel design concepts and methodologies.

关键词： Color selection LDA topic model interactive genetic algorithm Online reviews

来源：评论

学校读者我要写书评

暂无评论

Application of VR technology based on interactive genetic algorithm in the protection of ethnic intangible cultural heritage images in Guangxi

引用

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2023年 1-9页

作者： Su, Huangfeifei Qian, Yanyan Guangxi Univ Finance & Econ Nanning 530003 Guangxi Peoples R China Guangxi Police Coll Nanning 530023 Guangxi Peoples R China

interactive genetic algorithms can combine people's subjective emotions with genetic algorithms, and can be used to solve some related problems that cannot be constructed functions. Many problems in people's daily lives can be seen as optimization problems with hidden goals. Because the main objective of this problem is difficult to quantify, corresponding calculation methods and subjective evaluations are needed to optimize these problems. This article demonstrates through the use of interactive genetic algorithms and relevant experimental results that this calculation method can improve customer satisfaction, thereby improving the optimization of some problems. This paper uses interactive genetic algorithm to protect the images of intangible cultural heritage of Guangxi ethnic groups, and establishes a VR display system of intangible cultural heritage images unique to Guangxi ethnic groups, and carries out relevant experiments and evaluations on these technologies, finally verifying the feasibility of this system. This system analyzes the corresponding genetic images of non-material culture, extracts some relevant characteristics, and establishes a relevant database. Finally, let some users experience the system and conduct relevant evaluations.

关键词： interactive genetic algorithm genetic algorithm VR technology Image protection

来源：评论

学校读者我要写书评

暂无评论

RETRACTED: Integrating kansei engineering and interactive genetic algorithm in jiangxi red cultural and creative product design (Retracted Article)

引用

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年第1期44卷 647-660页

作者： Kang, Xinhui Nagasawa, Shin'ya Nanchang Univ Sch Architecture & Design 999 Xuefu Ave Nanchang 330031 Jiangxi Peoples R China Waseda Univ Grad Sch Commerce Tokyo Japan

To show the unique charm of Jiangxis traditional culture, it is of great importance to apply Jiangxis unique red culture to products creative designs. This paper aims to apply Kansei Engineering (KE) and interactive genetic algorithm (IGA) to extract the apparent symbol elements of Jiangxi red culture and then transform them into the creative watch design with modern culture. First of all, KE is used to extract customers emotional resonance to red culture, and 16 pairs of Kansei image vocabulary pairs are preliminarily collected. The theory of semiotics is used to extract symbols such as shapes, colors, and patterns from the perspective of Jiangxis red architecture. Secondly, through the designers subjective aesthetic thinking, these cultural symbols are broken up and reconstructed, thus forming the morphological deconstruction table combined with the case of the watch. Finally, IGA is implemented to code and decode the cultural symbols, thus building a product forms evolutionary design system. Through biological genetic manipulation, cultural symbols of refinement, particularity, and regionality are retained. Then these superior cultural genes are integrated into the innovation of the watch to get creative products with the characteristics of Jiangxi red culture. The model proposed in this paper optimizes the decision-making process of cultural creative product design, and also explores a sustainable development path of culture.

关键词： Kansei engineering interactive genetic algorithm cultural and creative product design jiangxi red culture

来源：评论

学校读者我要写书评

暂无评论

Research on Urban Landscape Design Optimization Based on interactive genetic algorithm 24

Research on Urban Landscape Design Optimization Based on Int...

引用

International Conference on algorithms, Software Engineering, and Network Security (ASENS)

作者： Wang, Yi Fang, Xiaotao Zhou, Tingjuan Tang, Jian Chongqing Design Inst Co Ltd Chongqing 400010 Peoples R China Chongqing Univ Sch Architecture & Urban Planning Chongqing 400044 Peoples R China

ISBN: (纸本)9798400709784

In recent years, the structure and function of suburban ecosystems have suffered severe damage due to unreasonable land use development and disorderly urban expansion. This has led to significant changes in regional climate, hydrological processes, biogeochemical cycles, biodiversity, and ecological environment problems. Consequently, it has become imperative to address the practical challenge of constructing a rational landscape safety pattern and reconciling the conflict between economic development and environmental protection within the spatial context. This challenge is particularly significant in the ongoing implementation of the national ecological civilization construction strategy. To optimize urban landscape planning schemes, this study proposes a method that incorporates resident opinions and utilizes interactive genetic algorithms (IGAs) for urban landscape design optimization. The method focuses on three key characteristics of the urban landscape: wall position, height, and building texture. An urban landscape design model is developed using OpenGL technology, and the IGA is employed to quantitatively evaluate user preferences. The design model is iteratively optimized based on the quantified results until users express satisfaction with the design. Experimental results demonstrate that this approach effectively quantifies user subjective opinions and ultimately achieves user-satisfactory design outcomes.

关键词： interactive genetic algorithm Urban landscape OpenGL Space optimization of landscape pattern

来源：评论

学校读者我要写书评

暂无评论

A Grammar Error Detection and Correction System Based on interactive genetic algorithm 3

A Grammar Error Detection and Correction System Based on Int...

引用

3rd International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Zhao, Lei Basic Teaching Department Chongqing College of Architecture and Technology Chongqing400000 China

ISBN: (纸本)9798331519032

Grammatical error is an important problem in natural language processing, which can seriously affect the readability and comprehensibility of text. Traditional grammar error detection and correction systems based on rules or statistical models often require a large amount of manually labeled data and a priori knowledge, and are difficult to effectively deal with complex and diverse grammatical errors. In this paper, a syntax error detection and correction system based on interactive genetic algorithm is proposed. The method utilizes the global search capability of genetic algorithm, combined with the interactive feedback from human experts, to automatically learn the features of grammatical errors and generate correction rules. Through iterative optimization, the system can gradually improve the ability of detecting and correcting grammatical errors. The experimental results show that the detection and correction system designed in this paper has an accuracy rate of up to 100%, and both the accuracy rate and recall rate exceed the traditional rule-based and statistical modeling methods. © 2024 IEEE.

关键词： fitness function grammar correction Grammatical error detection interactive genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Personalized Beverage Blending System Using interactive genetic algorithm and Its Search Analysis 22nd

Personalized Beverage Blending System Using Interactive Gene...

引用

22nd International Conference on Computer Information Systems and Industrial Management (CISIM)

作者： Yokoi, Miko Fujioka, Yuki Hanada, Yoshiko Fukumoto, Makoto Kansai Univ Fac Engn Sci Osaka Japan Fukuoka Inst Technol Dept Comp Sci & Engn Fukuoka Japan

ISBN: (纸本)9783031428227;9783031428234

In this study, we improved the dispensing accuracy of the automatic juice blending system in the previous study to optimize the mixing ratio of juices that match the preference of each user using an interactive genetic algorithm (IGA). We verify the properties of the solution obtained by IGA by conducting subject experiments under an improved experimental environment that allows adjustment of the discharging of each juice with an accuracy of 100 ms. In addition, we analyze the difference in convergence tendency from the experimental results of the subject experiments when the design variable space is expanded.

关键词： interactive genetic algorithm Blending Juice

来源：评论

学校读者我要写书评

暂无评论

Multi-information fingerprint identification method based on interactive genetic algorithm

引用

INTERNATIONAL JOURNAL OF BIOMETRICS 2022年第3-4期14卷 352-366页

作者： Liu, Yuansheng Anhui Vocat Coll Press & Publishing Hefei 230036 Peoples R China

In order to overcome the shortcomings of traditional fingerprint identification methods, such as low computational efficiency and high false classification rate, a new multi-information fingerprint identification method based on interactive genetic algorithm is proposed. Firstly, the multi-information fingerprint image is pre-processed to extract the feature points. Then, combined with the interactive genetic algorithm, the rotation angle of the two fingerprint images is determined. At the same time, the fingerprint offset code is coded, and the matching setting function is set. The matching degree of the two fingerprints is determined by the interactive genetic algorithm, which effectively realises the multi-information fingerprint identification. Finally, the simulation experiment is carried out. The experimental results show that the proposed method can effectively reduce the false classification rate, reduce the average matching time of fingerprint image, and improve the operation efficiency. The minimum error rate is only 1.02%.

关键词： interactive genetic algorithm feature point extraction multi-information fingerprint identification offset coding

来源：评论

学校读者我要写书评

暂无评论

Optimization Design of Landscape Spatial Environment Based on interactive genetic algorithm 1

Optimization Design of Landscape Spatial Environment Based o...

引用

1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Song, Zuomei Guo, Jie Wang, Ying Hebei Oriental University Heibei Langfang China

ISBN: (纸本)9798350316469

In the process of landscape design, the method can effectively establish the output data in the noise and make a comprehensive judgment on the effect of noise on the environment, so it is said that the tax payment algorithm proposed in this round can realize the integration of urban planning and architecture, better carry out spatial planning, and expand the development potential of space. © 2023 IEEE.

关键词： interactive genetic algorithm Landscape Space environment optimization

来源：评论

学校读者我要写书评

暂无评论

Requirements traceability recovery for the purpose of software reuse: an interactive genetic algorithm approach

引用

INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING 2022年第1期18卷 193-213页

作者： Hamdi, Mohamed Salah Ghannem, Adnane Kessentini, Marouane Ahmed Bin Mohammed Mil Coll Informat Syst Dept Doha Qatar Univ Michigan Comp & Informat Sci Dept Ann Arbor MI 48109 USA

Traceability allows engineers to trace and monitor the relationships between software artifacts. Monitoring these relationships is vital to many software engineering activities such as software understanding and reuse. Grasping these relationships is studied in the framework of Requirement Traceability Recovery (RTR). RTR is vital to software reuse as it allows the identification and comparison of requirements of new and existing systems, and hence the reuse of software system components. Due to the difficulties in recovering the traceability links manually, only few software development processes take the monitoring of these relationships fully into account. Many attempts to automate the RTR task that enjoyed some success are based on methods from the field of information retrieval. However, these methods only concentrate on calculating the textual similarity between various software artifacts and do not take into account other properties of the artifacts. In this paper, we propose a search-based RTR approach using genetic algorithms, that relies not only on semantic similarity between software artifacts, but also takes into account the history of reuse of the artifacts, and incorporates knowledge into RTR in the form of user (designer/developer) feedback. Experimental results show that the approach is promising.

关键词： Software reuse interactive genetic algorithm Requirements engineering Requirements traceability

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：