Affordance-based adaptive immune genetic optimization of shape design method

Hong Song; Sui Huai Yu; Shu Xia Wang; Lin Ye; Ming Lei Zhao

doi:10.13196/j.cims.2014.06.songhong.1308.7.2014065

Affordance-based adaptive immune genetic optimization of shape design method

Hong Song, Sui Huai Yu, Shu Xia Wang, Lin Ye, Ming Lei Zhao

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

To improve users' accurate judgment to the functional meaning of product shape, an affordance-based adaptive immune genetic optimization of shape design method was proposed. Based on analyzing the relationship among functionality, component, shape and affordance, a hierarchical model of product shape design property was presented. By combining with the experts' suggestion, the affordance vaccines were extracted and the evaluation mechanism was optimized to reduce the subjective evaluation error, and the adaptive immune genetic algorithm was used to build innovative design. According to this method, a Computer-Aided Intelligent Product Design System (CAIPDS) was realized, the design efficiency was improved and the design result was generated automatically by using design resource fully.

Original language	English
Pages (from-to)	1308-1314
Number of pages	7
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	20
Issue number	6
DOIs	https://doi.org/10.13196/j.cims.2014.06.songhong.1308.7.2014065
State	Published - Jun 2014

Keywords

Affordance
Back propagation neural network
Genetic algorithms
Immunity
Product design
Shape design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.13196/j.cims.2014.06.songhong.1308.7.2014065

Cite this

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title = "Affordance-based adaptive immune genetic optimization of shape design method",

abstract = "To improve users' accurate judgment to the functional meaning of product shape, an affordance-based adaptive immune genetic optimization of shape design method was proposed. Based on analyzing the relationship among functionality, component, shape and affordance, a hierarchical model of product shape design property was presented. By combining with the experts' suggestion, the affordance vaccines were extracted and the evaluation mechanism was optimized to reduce the subjective evaluation error, and the adaptive immune genetic algorithm was used to build innovative design. According to this method, a Computer-Aided Intelligent Product Design System (CAIPDS) was realized, the design efficiency was improved and the design result was generated automatically by using design resource fully.",

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AU - Yu, Sui Huai

AU - Wang, Shu Xia

AU - Ye, Lin

AU - Zhao, Ming Lei

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AB - To improve users' accurate judgment to the functional meaning of product shape, an affordance-based adaptive immune genetic optimization of shape design method was proposed. Based on analyzing the relationship among functionality, component, shape and affordance, a hierarchical model of product shape design property was presented. By combining with the experts' suggestion, the affordance vaccines were extracted and the evaluation mechanism was optimized to reduce the subjective evaluation error, and the adaptive immune genetic algorithm was used to build innovative design. According to this method, a Computer-Aided Intelligent Product Design System (CAIPDS) was realized, the design efficiency was improved and the design result was generated automatically by using design resource fully.

KW - Affordance

KW - Back propagation neural network

KW - Genetic algorithms

KW - Immunity

KW - Product design

KW - Shape design

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Affordance-based adaptive immune genetic optimization of shape design method

Abstract

Keywords

UN SDGs

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