Evolutionary and interactive sketching tool for innovative car shape design

Yannou, Bernard; Cluzel, François; Dihlmann, Markus

doi:10.1051/meca/2013053

Cited by 9 publications

(12 citation statements)

References 16 publications

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“…(Mok et al, 2013) developed a design support system for sketch design under an IGA model. (Yannou, Cluzel, & Dihlmann, 2013) proposed a model based on IGA by a Fourier analysis approach for car profile design. At the same time, some novel concepts or IGA approaches were also proposed, such as the IGA approach proposed by (Gong, Yao, & Yuan, 2009), in which individual fitness was calculated according to customers sensitiveness instead of being directly assigned by customers.…”

Section: Interactive Genetic Algorithm (Iga)mentioning

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: Interactive Genetic Algorithm (Iga)mentioning

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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“…Ant colony, Particle Swarm Optimisation, artificial immune systems, etc.) [76][77][78]. Another assessment of several metaheuristics was made by [79].…”

Section: Adaptive Design Of Experimentsmentioning

confidence: 99%

Simulation data management for adaptive design of experiments: A litterature review

Blondet

Duigou

Boudaoud

et al. 2015

Mechanics & Industry

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-Recent evolutions of computer-aided product development and massive integration of numerical simulations to the design process require new methodologies to manage the continuously increasing flow of data and decrease the computational costs of numerical design of experiments. This paper presents a literature review of Simulation Data Management strategy and adaptive design of experiments methodology to detect possible links between these two fields and identify potential improvements for simulation process shortening. Adaptive design of experiments is based on several methods implying a profusion of different technics. Re-using best practices may help designers to choose relevant methods to reduce computational cost and simulation process duration.

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“…e IGA is an evolutionary optimization algorithm based on human-computer interaction, which realizes the intervention and guidance of the evolutionary process to solve a class of implicit performance index optimization problems that cannot be solved by traditional GA. At present, IGA has achieved great success in image retrieval [11], clothing design [12], music creation [13], and product modeling design [14]. However, the traditional IGA also has some shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design

Huang

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Interactive genetic algorithm (IGA) is an effective way to help users with product design optimization. However, in this process, users need to evaluate the fitness of all individuals in each generation. It will cause users’ fatigue when users cannot find satisfactory products after multi-generation evaluations. To solve this problem, an improved interactive genetic algorithm (IGA-KDTGIM) is proposed, which combines K-dimensional tree surrogate model and a graphic interaction mechanism. In this algorithm, the K-dimensional tree surrogate model is built on the basis of users' historical evaluation information to assist the user's evaluation, so as to reduce the times of users' evaluation. At the same time, users are allowed to interact with the graphic interface to adjust the shape of the individual, so as to increase users' creation fun and to make the evolution direction of the population conform to users' expectations. The IGA-KDTGIM is applied to the 3D vase design system and independently experimented with IGA, IGA-KDT, and IGA-GIM, respectively. The average fitness, maximum average fitness, and evaluation times of statistical data were compared and analyzed. Compared with traditional IGA, the number of evaluations required by users decreased by 60.0%, and the average fitness of the population increased by 15.0%. The results show that this method can reduce the users' operation fatigue and improve the ability of finding satisfactory solutions to a certain extent.

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Evolutionary and interactive sketching tool for innovative car shape design

Cited by 9 publications

References 16 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

Simulation data management for adaptive design of experiments: A litterature review

Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design

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