Clustering of users inputs in multi-user interactive evolutionary font design

Kuzma, Miron; Jaksa, Rudolf; Sinčák, Peter

doi:10.1109/saci.2009.5136278

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…In the evolutionary process of IGA, individual designers were allowed to share each other's design schemes via case injection to support collaboration (Quiroz, Louis, Banerjee, & Dascalu, 2009). Clustering customer input data and grouping together similar behaviors could also be a kind of collaborative means (Kuzma, Jaksa, & Sincak, 2009). These studies inspire us to improve design process by sharable knowledge (design schemes and existing products), which can positively influence the following design.…”

Section: Introductionmentioning

confidence: 99%

Customer-oriented product collaborative customization based on design iteration for tablet personal computer configuration

Dou

Zhang

Nan

2016

Computers & Industrial Engineering

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Customers limited knowledge and technique restrains manufacturer from making them directly participate in practical product design to quickly respond to their complex and personalized demand. Based on design iteration, an approach to customer-oriented product collaborative customization is proposed for manufacturer to improve the design process. This approach uses the existing product and continuously increasing product design scheme as valuable product configuration knowledge. Meanwhile, the concept of product family is extended to design family, where the product individual and design scheme are respectively distributed into different knowledge bases. With the benefit of iterative genetic algorithm (IGA), design iteration is applied to make the existing product and design process bi-directionally evolve in the customized process to seek the optimal design, accordingly customers' operational fatigue will be lessened and their customized efficiency will be improved. Finally, the customized design of tablet PC is taken for instance to testify the maneuverability and effectiveness of the proposed approach. The experimental results demonstrate that the approach could effectively identify customers' preference and obviously improve their customization efficiency, with lessening their operational fatigue to the large extent.

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Section: Introductionmentioning

confidence: 99%

Customer-oriented product collaborative customization based on design iteration for tablet personal computer configuration

Dou

Zhang

Nan

2016

Computers & Industrial Engineering

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Predicting user’s preferences using neural networks and psychology models

Kuzma

Andrejková

2015

Appl Intell

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FRI model based pre-evaluation in IEC

Krizsán

Kovács

2009

2009 5th International Symposium on Applied Computational Intelligence and Informatics

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There are a lot of application areas of evolutionary computation approaches, where the evaluation of the fitness of an object is practically machinery uncomputable. This case helps interactive evolutionary computation (IEC) methods. In this paper a novel preevaluation IEC functionality is suggested, where the human evaluator is assisted by a pre-evaluated fitness value approximated by an adaptive incremental Fuzzy Rule Interpolation (FRI) model.

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Clustering of users inputs in multi-user interactive evolutionary font design

Cited by 5 publications

References 7 publications

Customer-oriented product collaborative customization based on design iteration for tablet personal computer configuration

Customer-oriented product collaborative customization based on design iteration for tablet personal computer configuration

Predicting user’s preferences using neural networks and psychology models

FRI model based pre-evaluation in IEC

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