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15th Nicograph International Conference (NicoInt)

作者： Wu, Zhiming Lin, Tao Tang, Ningjiu Hua, Lixian Chen, Yu Sichuan Univ Coll Comp Sci Chengdu Peoples R China Sichuan Univ Lib Chengdu Peoples R China Sichuan Minzu Coll Kangding Peoples R China

ISBN: (纸本)9781509023059

The color-planning problem of agents involved complex factor including desired personality, color harmony, and user preference. A color planning tool based on interactive genetic algorithm was developed to solve the problem and help users to design the color appearance of agents. The results showed that the problem involved in color planning of agents was well resolved using the tool.

关键词： interactive genetic algorithm color planning tool personality

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Classified-Chime Sound Generation Support System Using an interactive genetic algorithm

Classified-Chime Sound Generation Support System Using an In...

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10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010)

作者： Okada, Noriko Miki, Mitsunori Hiroyasu, Tomoyuki Yoshimi, Masato Doshisha Univ Grad Sch Engn 1-3 Tatara Miyakodani Kyotnabe Kyoto 6100321 Japan Doshisha Univ Dept Sci & Engn Kyotnabe Kyoto 6100321 Japan Doshisha Univ Dept Life & Med Sci Kyotnabe Kyoto 6100321 Japan

ISBN: (纸本)9783642132315

Tins research proposes a chime sound generation support system to readily generate intercom chime sounds that;are agreeable to individual persons and to associate the chime sounds with visitors. In the proposed system, an interactive genetic algorithm (IGA) is used. Based on the melodies created by users, chime sounds are automatically generated in accordance with rules. The effectiveness of the proposed system is verified by an experiment;using the system.

关键词： Optimization interactive genetic algorithm Chime sound

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Musical Perceptual Similarity Estimation Using interactive genetic algorithm

Musical Perceptual Similarity Estimation Using Interactive G...

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2010 IEEE World Congress on Computational Intelligence

作者： Wang, Shangfei Zhu, Hua Univ Sci & Technol China Key Lab Comp & Commun Software Anhui Prov Sch Comp Sci & Technol Hefei Peoples R China

ISBN: (纸本)9781424481262

This paper proposes a new approach to estimate the emotional perceptual similarity of music using interactive genetic algorithm. Different combinations of measure function and feature weights construct the searching space, and users' subjective similarity evaluations of musical pieces are used as the fitness. The approach tries to search for the optimal combination of measure function and feature weights to better reflect human's perception. A comparative emotion detection experiment is designed to explore the effectiveness of our approach in our MIDI database. The one is the simple K-Nearest Neighbor (KNN) and the other is the modified KNN using the optimal combination obtained. Experimental results show that our method outperforms the simple KNN classifier, which confirms its usefulness of better reflecting human's perception.

关键词： K-nearest neighbor KNN classifier MIDI database audio databases behavioural sciences emotion detection emotional perceptual similarity estimation feature weight genetic algorithms human perception information retrieval interactive genetic algorithm measure function music musical perceptual similarity estimation musical piece searching space signal classification subjective similarity evaluation

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Terrain Generation Using an interactive genetic algorithm

Terrain Generation Using an Interactive Genetic Algorithm

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2010 IEEE World Congress on Computational Intelligence

作者： Walsh, Paul Gade, Prasad Cork Inst Technol Dept Comp Cork Ireland

ISBN: (纸本)9781424481262

This paper introduces the Auto Terrain Generation System (ATGS), which is based on an interactive genetic algorithm (IGA) that enables non-specialist users to rapidly generate terrains. The motivation for using an IGA is discussed, existing terrain generation techniques are described and a new approach, based on a fractal terrain engine, is outlined. Graphics engines allow terrains to be specified with over 800 floating point parameters, which can overwhelm non-specialist users. These parameters also create a vast search space for auto-terrain generation systems that can complicate procedural techniques. ATGS addresses these issues via interaction with the user, which is implemented in ATGS by a web based user interface that allows users to rapidly indicate terrain preferences. These user preferences are used by a genetic algorithm to explore a multi-dimensional parameter space that satisfies the user's intuition and aesthetics. Proof of concept experiments are outlined, results are presented and future research work is projected.

关键词： Web based user interface auto terrain generation system computer graphics floating point parameters fractal terrain engine fractals genetic algorithms graphics engines interactive genetic algorithm interactive systems multidimensional parameter space terrain mapping user interfaces

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IGA-Based interactive Framework Using Conjoint Analysis and SOM for Designing Room Layout

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INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING 2015年第2期25卷 361-395页

作者： Akase, Ryuya Okada, Yoshihiro Kyushu Univ Grad Sch Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan Kyushu Univ Innovat Ctr Educ Resource Nishi Ku Fukuoka 8190395 Japan

In this paper, the authors propose the user evaluation support methods for IGA (interactive genetic algorithm)-based 3D room layout generation. Although IGA is useful for applying the user preferences to the solution, IGA-based systems force users to evaluate a lot of individuals, causing the fatigue of operators. Therefore, we adopted the following methods in order to cope with the problem: (a) Prediction of user preferences with a conjoint analysis. (b) Individuals clustering with a self-organizing map. To make a 3D scene such as a furniture layout, the IGA-based 3D room layout system is very helpful because it requires easy 3D graphics and manipulation only. The authors have been developing a web-based system that optimizes 3D room layouts based on user preferences. Finally, we tested the usefulness of our system with the demonstration, and had positive outcomes.

关键词： 3D room layout generation interactive genetic algorithm conjoint analysis selforganizing map WebGL

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IGA-Based interactive Framework Using Conjoint Analysis and SOM for Designing Room Layout

IGA-Based Interactive Framework Using Conjoint Analysis and ...

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7th International Symposium on Visual Information Communication and Interaction

作者： Akase, Ryuya Okada, Yoshihiro Kyushu Univ Grad Sch Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan Kyushu Univ Innovat Ctr Educ Resource Nishi Ku Fukuoka 8190395 Japan

关键词： 3D room layout generation interactive genetic algorithm conjoint analysis selforganizing map WebGL

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Visualization of Crowd-Powered Impression Evaluation Results 19

Visualization of Crowd-Powered Impression Evaluation Results

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19th International Conference on Information Visualisation IV 2015

作者： Gomi, Erika Saito, Yuri Itoh, Takayuki Ochanomizu Univ Grad Sch Humanities & Sci Tokyo Japan

ISBN: (纸本)9781467375689

There have been many collective knowledge on the Web, such as evaluation of restaurants, hotels, and manufactured products. Even though each of the participants on such Web sites usually just evaluate the small number of contents, these kinds of crowd-powered contents evaluation services bring us fruitful information. Visualization is a useful tool to carefully observe the evaluation results and discover complex trends of the evaluation. This paper presents our study on visualization of the crowd-powered contents evaluation. Firstly we developed a contents evaluation technique applying an interactive genetic algorithm, which presents contents estimated to be highly or poorly evaluated. Then we had a case study with various appearances of female face images to collect the evaluations. Finally, we visualized the result by applying an image browser CAT. This paper discusses how the visualization result depicts the trends of the evaluation on appearance of women.

关键词： interactive genetic algorithm crowd-powered contents evaluation image browser

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Two Brains Guided interactive Evolution

Two Brains Guided Interactive Evolution

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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Kattan, Ahmed Doctor, Faiyaz Arif, Muhammed UQU Fac Comp & Informat Syst Dept Comp Sci Mecca Saudi Arabia Coventry Univ Fac Engn & Comp Dept Comp Coventry W Midlands England

ISBN: (纸本)9781479986965

In this paper, we show that it is possible to use electroencephalography (EEG) and multi-brain computing with two humans to guide an interactive genetic algorithm (IGA) system. We show that combining neural activity across two brains increases accuracy to guide evolutionary search more effectively. The IGA system involves a simple task of evolving a polygon shape to approximate the shape of a target polygon. Two candidates visually inspected the evolved polygons and mentally ranked them (independently from each other) from 1-10 based on their similarity to the target polygon. In parallel, the IGA system evaluated the fitness of evolved polygons using a standard fitness function. The IGA system was run for a few generations, before evolution was paused and EEG signals were collected from the two candidates. The collected EEG signals were used to train a regression model that received unseen EEG as input and mapped this into fitness values. The trained model was then used to guide the IGA solely by using the EEG signals. Off-line experimental results showed that it was possible to build better regression models that are trained using two EEG signals to capture participants evaluation of fitness. This paper demonstrates the possibility of a new domain of applications for interactive evolution where standard fitness calculations can be replaced with multiple EEG signals for guiding an optimisation process.

关键词： EEG multi-brain interactive genetic algorithm

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

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COLOR RESEARCH AND APPLICATION 2013年第5期38卷 375-390页

作者： Hsiao, Shih-Wen Hsu, Chiao-Fei Tang, Kai-Wei Natl Cheng Kung Univ Dept Ind Design Tainan 70101 Taiwan

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. (c) 2012 Wiley Periodicals, Inc. Col Res Appl, 38, 375-390, 2012

关键词： color harmony color planning interactive genetic algorithm boundary extraction algorithm interactive design

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interactive genetic algorithm-aided generation of carpet pattern

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JOURNAL OF THE TEXTILE INSTITUTE 2009年第6期100卷 556-564页

作者： Zamani, F. Amani-Tehran, M. Latifi, M. Amirkabir Univ Technol Dept Text Engn Text Res Ctr Tehran Iran Amirkabir Univ Technol Excellence Ctr Tehran Iran

Pattern generation for carpets is an expensive and time-consuming task that requires skills, imagination, and creativity. In recent years, interactive genetic algorithm (IGA) has been successfully utilized in generating patterns in different fields such as architecture, graphic art, and music among many others. In these applications, fitness functions cannot mathematically be defined, and the fitness value of each pattern combination is required to be evaluated by designer. Therefore, IGA can be utilized to serve as an effective tool to accelerate the design process. In the present work, a modified IGA is developed to generate patterns for machine-made carpets. Each pattern consists of a set of basic elements. Some basic pattern elements are collected, categorized, and coded as gene values. In each generation, new population is formed on the basis of observer's evaluation. All generated patterns are simultaneously shown for observer to assign a fitness value to each one. Hence, a new population can be achieved using the genetic algorithm. Our results show that acceptable patterns can be obtained after a limited number of generations. The system is designed in such a way that it can be used by unprofessional users.

关键词： pattern generation interactive genetic algorithm carpet

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