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检索条件"主题词=interactive evolutionary computation"

共 163 条记录，以下是31-40 订阅

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Scheme of interactive Evoking and Evolution of Creative Ideas Based on interactive evolutionary computation

Scheme of Interactive Evoking and Evolution of Creative Idea...

引用

3rd International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2011)

作者： Hao Guosheng Zhao Xiangjun Wu Jia-Wei Huang Yong-Qing Xuzhou Normal Univ Sch Comp Sci & Technol Xuzhou 221116 Peoples R China Xuzhou Construct Machinery Grp Xuzhou 221000 Peoples R China Hefei Univ Technol Inst Comp Network Syst Hefei 230009 Peoples R China

ISBN: (纸本)9783037850190

Creative ideas are important not only for an enterprise but also for a country. The scheme for computer to produce creative ideas is given. There are two parts in the scheme. The first part is for computer to realize the creation skills, which will bring thousands or millions of candidate ideas. The second part is to optimize the candidate ideas with interactive evolutionary computation (IEC). When the sentences that IEC optimized are submitted to the user, his/her thought would be invoked, and new ideas would come to his/her brain. This scheme supports a new way for computer to help user produce creative ideas.

关键词： creative ideas evoking evolution interactive evolutionary computation

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Grid Layout Generator using interactive evolutionary computation

Grid Layout Generator using Interactive Evolutionary Computa...

引用

International Conference on Biometrics and Kansei Engineering (ICBAKE)

作者： Ishibashi, Ken Miyata, Kazunori Japan Adv Inst Sci & Technol Sch Knowledge Sci Nomi Ishikawa Japan

ISBN: (纸本)9780769550190

We present a grid layout generator using interactive evolutionary computation (IEC). A grid layout is a basic and simple layout, but making it becomes tedious work as the number of grids increases. Our grid layout generator allows users to easily and quickly obtain a favorite grid layout with just a few operations. We have implemented a collage image generating application for our grid layout generator. We describe this application and its effectiveness through several experimental evaluations.

关键词： grid layout interactive evolutionary computation genetic programming photo collage

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Principal Component Selection of Machine Learning Algorithms Based on Orthogonal Transformation by Using interactive evolutionary computation

Principal Component Selection of Machine Learning Algorithms...

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

作者： Pei, Yan Univ Aizu Div Comp Sci Fukushima 9658580 Japan

ISBN: (纸本)9781509018970

We propose a method to solve the selection problem of principal components in machine learning algorithms based on orthogonal transformation by using interactive evolutionary computation. One of the addressed subjects for machine learning algorithms based on orthogonal transformation is how to decide the number of principal components, and which of the principal components should be used to reconstruct the original data. In this work, we use the interactive differential evolution algorithm to study these subjects by using real humans' subjective evaluation in an optimization process. An image compression problem using principal component analysis is introduced to study the proposed method. From the evaluation, we do not only solve the selection problem of principal components for machine learning algorithms based on orthogonal transformation, but also can analyse the human aesthetical characteristics on visual perception and feature selection from the designed method and experimental evaluation. We also discuss and analyse potential research subjects and some open topics, which are invited to further investigate.

关键词： interactive evolutionary computation orthogonal transformation principal component analysis principal component selection interactive differential evolution image compression

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Using Suggestion Information in Exchange Solutions between Users in interactive evolutionary computation Creating Blended Juices 12

Using Suggestion Information in Exchange Solutions between U...

引用

Joint 12th International Conference on Soft Computing and Intelligent Systems / 23rd International Symposium on Advanced Intelligent Systems (SCIS and ISIS)

作者： Fukumoto, Makoto Hanada, Yoshiko Fukuoka Inst Technol Dept Comp Sci & Engn Fukuoka Japan Kansai Univ Dept Elect & Elect Engn Osaka Japan

ISBN: (纸本)9781665499248

Making products fit the feelings and preferences of many users is one of the targets of Kansei engineering. At present, it is still challenging to achieve the target. interactive evolutionary computation (IEC) is a candidate for the techniques of making the products. IEC employs evolutionary computations' searching ability for the best and good solutions to a particular problem. Some previous studies have proposed IECs where multiple users participated in the search. In some of them, the user's basic search is performed independently, and sometimes good solutions are exchanged between the users. This study aims to propose a method using users' suggestions in the exchange as a good communication opportunity between users. This study tried to achieve the users' suggestion in IEC in the creation of juice by blending several source juices. The tasting experiment through seven generations was conducted with fourteen participants. Significant increases in mean and maximum fitness values were observed from the initial to the final generations. Furthermore, qualitative analysis is performed based on the exchange states and the reason for the suggestion with a thought of positive computing.

关键词： interactive evolutionary computation multiple users exchange of GA individuals user's suggestion blended juice

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Adaptive interactive evolutionary computation for Active Intent-oriented Design

Adaptive Interactive Evolutionary Computation for Active Int...

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9th IEEE International Conference on Computer-Aided Industrial Design and Conceptual Design

作者： Zhang Wenli Jiangsu Univ Dept Ind Design Zhenjiang Jiangsu Peoples R China

ISBN: (纸本)9781424432905

Through human participation in the search-and-selection process, an interactive evolutionary computation-based design environment can offer industrial designers an exploration studio for the stimulation of creativity through evolution of continually emerging shapes, helping them to attain models with certain design intent. Such stochastic searches possibly bring user fatigue because of longtime iteration. In order to accelerate the evolving process, adaptive mechanisms of evolutionary computation are used to actively capture the design intent during a man-machine interactive modeling process, adapting the design-evolution process to support the designer in quickly finding appreciated solutions in the midst of giant possibilities. To test the proposed concept of active intent-oriented design, two interactive evolution strategies-based curve modifiers with and without adaptation-are implemented as plugins with a conventional CAD tool. Primitive experimental results are presented to show the potential of the proposed concept.

关键词： Geometric Modeling Intent interactive evolutionary computation Self-adaptation

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Experiment to Investigate Awareness of Tastes for Users in interactive evolutionary computation 12

Experiment to Investigate Awareness of Tastes for Users in I...

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Joint 12th International Conference on Soft Computing and Intelligent Systems / 23rd International Symposium on Advanced Intelligent Systems (SCIS and ISIS)

作者： Obata, Rina Ohnishi, Kei Fukumoto, Makoto Ohsaki, Miho Kyushu Inst Technol Iizuka Fukuoka Japan Fukuoka Inst Technol Fukuoka Japan Doshisha Univ Kyotanabe Japan

ISBN: (纸本)9781665499248

interactive evolutionary computation (IEC) is one type of evolutionary computation which includes a human user as an evaluation system. Unlike a computer program in standard EC, an IEC user is expected to be aware of his/her tastes more clearly with iteration of evaluations. However, there has not been any research that tries to confirm it so far. If it is confirmed, IEC is desired to design based on that fact. In the paper we first propose an experimental way to investigate it and then conduct an experiment following the proposed way. In addition, we try to extract features of solutions which correspond to the awareness well. The results show that most subjects can be more aware of their tastes with iteration and the extracted features correspond to the awareness well.

关键词： interactive evolutionary computation awareness taste sequential task execution mutual information

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Developing Support System for Cover Design with interactive evolutionary computation

Developing Support System for Cover Design with Interactive ...

引用

26th Chinese Control and Decision Conference (CCDC)

作者： Yu, Fei Li, Yuanxiang Kuang, Li Li, Zhijie Wuhan Univ Comp Sch Wuhan 430072 Peoples R China

ISBN: (纸本)9781479937066

we developed an automatic cover design supporting system for non-professional users to create their preferred cover designs in a user-oriented way by using interactive Genetic Algorithm(IGA). Different from the template design pattern, our system allows an interaction between the algorithm and the Decision Maker(DM). It allows the users to take into account their preferences at each generation of IGA. In order to avoid the fatigue of the users, a novel evaluation model consisting of DM evaluation and machine evaluation is applied. The whole population is classified into clusters by the K-means clustering algorithm and only the most representative individual of each cluster is evaluated by the DM. The support system is applied to a book cover design. The results show that the proposed IGA is able to capture preferences of user in a reasonable number of iterations.

关键词： interactive evolutionary computation Cover Design K-means clustering

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Three-Dimensional Robot Motion Design by Combining interactive and Non-interactive evolutionary computation for an Intelligent Transformable Phone Robot: BaBi

Three-Dimensional Robot Motion Design by Combining Interacti...

引用

IEEE Congress on evolutionary computation (IEEE CEC)

作者： Liu, Jiansheng Ono, Satoshi Zhu, Bilan Kagoshima Univ Grad Sch Sci & Engn Kagoshima Japan

ISBN: (纸本)9781728183923

This paper presents an interactive method for designing robot facial expressions and motions of an intelligent transformable phone robot BaBi. Designing an objective function to evaluate facial expressions and motions suitable for BaBi with an original structure is quite hard although users can easily imagine favorite motions. Therefore, the proposed method employs interactive evolutionary computation (IEC) in addition to general optimization. The method allows users to add candidates to a case base when finding satisfying candidates and evaluates candidates' scores according to the case base. It applies a Different Evolution (DE) method to generate new candidates. Users may alternately push the buttons to generate face and body motion without making any selection of candidates with a selection interface. The method will make selection with the scores when users do not make any selection of candidates. Users can select or not select. It is an IEC process when users make selections, while it is a non-interactive evolutionary computation (non-IEC) process when users do not make any selection, resulting in being a fusion of IEC and non-IEC. Adding more candidates to the case base can speed up generating the desired motion and promote the non-IEC progress and reduce the burden on users. Experimental results have shown that the proposed method produces the robot motions effectively.

关键词： interactive evolutionary computation Non-interactive evolutionary computation Robot Motion Design Phone Robot

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Archive Management in interactive evolutionary computation with Minimum Requirement for Human User's Fitness Evaluation Ability

Archive Management in Interactive Evolutionary Computation w...

引用

13th International Conference on Artificial Intelligence and Soft Computing (ICAISC)

作者： Ishibuchi, Hisao Sudo, Takahiko Nojima, Yusuke Osaka Prefecture Univ Grad Sch Engn Dept Comp Sci & Intelligent Syst Naka Ku Sakai Osaka 5998531 Japan

ISBN: (纸本)9783319071725;9783319071732

interactive evolutionary computation (IEC) has a large potential ability as a personalized optimization technique to search for preferred solutions. In IEC, evolution of a population is driven by human user's preference through his/her subjective fitness evaluation. As a result, different solutions are obtained by different users for the same problem. One important challenge in the design of an efficient IEC algorithm is to decrease the human user's burden in fitness evaluation. We have proposed an idea of a (1+1)ES model of IEC with the minimum requirement for human user's fitness evaluation ability under the following assumptions: (i) human users can evaluate only a single solution at a time, (ii) human users can remember only the previously examined single solution, (iii) the evaluation result is whether the current solution is better than the previous one or not, and (iv) human users can perform a prespecified number of evaluations in total. This model always has a single archive solution, which is used as the final solution when its execution is terminated. In this paper, we generalize the (1+1)ES model of IEC to a general (mu+1)ES model where mu is not a constant but a variable control parameter. More specifically, the value of mu is controlled so that only a single solution is obtained after the final generation (i.e., mu=1 at the final generation whereas mu can be more than one in the other generations). We show how we can derive the upper bound on the value of mu at each generation from the requirement of mu=1 at the final generation and the above-mentioned four assumptions. We also examine the search behavior of the (mu+1) ES model for various values of mu.

关键词： evolutionary algorithms interactive evolutionary computation human users fitness evaluation archive solutions archive management

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User Fatigue in interactive evolutionary computation

User Fatigue in Interactive Evolutionary Computation

引用

3rd International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2011)

作者： Yan Jun-Rong Min Yong Xuzhou Normal Univ Coll Elect Engn & Automat Xuzhou 221116 Jiangsu Peoples R China

ISBN: (纸本)9783037850190

User fatigue is an important issue in interactive evolutionary computation (IEC). A user's evaluation will guide the evolution in IEC and a tired user probably misleads the algorithm. Firstly, the impact of the user fatigue is given. Secondly, the cause of the user fatigue is discussed: he/she will have to keep rational, which means that the user will have to keep the consistency between his/her evaluation and preference. And the necessity for the user to keep rational is also analyzed, which will ensure IEC to converge to the user-most-satisfactory individuals. The study of user fatigue established necessary foundation for future research.

关键词： interactive evolutionary computation user fatigue users' preference convergence

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