Form Innovation Method Based on Genetic Algorithm and Product Semantics

From the perspective of combination principles, product form is divided into several modules for extracting profile curves; applying Genetic Algorithm (GA), product form chromosomes are coded in tree structure, through crossover and mutation operators to generate new programs; the method of product...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 422; no. Information Engineering for Mechanics and Materials Research; pp. 336 - 342
Main Authors Chen, Deng Kai, Li, Ying, Yang, Yan Pu, Yu, Sui Huai
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.09.2013
Subjects
BASIC (programming language)
Design engineering
Evolutionary algorithms
Genetic algorithms
Mutations
Platforms
Product innovation
Semantics
Product Semantics
Genetic Algorithm (GA)
Combination Principles
Form Innovative Design
Online AccessGet full text

Cover

More Information
Summary:From the perspective of combination principles, product form is divided into several modules for extracting profile curves; applying Genetic Algorithm (GA), product form chromosomes are coded in tree structure, through crossover and mutation operators to generate new programs; the method of product semantics is introduced into the process of evolutionary computation to enhance the interactivity of evolutionary computation by fuzzification, in which designer can decide the orientation from the selected products and guarantee the results can reflect the designer's innovative ideas. With Visual Basic and Rhinoceros platform a product form innovative design system is developed.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Information Engineering for Mechanics and Materials (ICIMM 2013), July 5-7, 2013, Hangzhou, China
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISBN:3037858850
9783037858851
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.422.336