NDLI: The Method of Solving Initial Configuration Unit of Probability in Product Self-Configuration Design

Content Provider	IEEE Xplore Digital Library
Author	He Bin
Copyright Year	2010
Abstract	Starting with the introduction of product self-organization configuration design and configuration unit, the problem of solving initial configuration unit based on probability is described by using mathematic model of solving the problem in Fault Diagnose. Accordingly, fitness function is constructed for Genetic Algorithm on the basis of likelihood function. Meantime, vehicle leaf-spring is taken as an example to testify the solving process, where input design requirement and the corresponding probability value is given through the statistics of typical examples. The simulation process and result of solving initial configuration unit for leaf-spring is realized by helps of Genetic Algorithm tool in Matlab 7.1. Through the analysis of process and result, it can be concluded that the solving process is effective and reasonable, and the solving result accords nearly with actual situation of leaf-spring design, which prove that the solving method based on Genetic Algorithm is feasible to self-organization configuration design for vehicle leaf-spring.
Starting Page	852
Ending Page	855
File Size	281072
Page Count	4
File Format	PDF
ISBN	9781424472796
e-ISBN	9781424472802
DOI	10.1109/ICICTA.2010.275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Process design Statistical analysis product self-configuration design vehicle leaf-spring Genetic Algorithm Probability Product design Mathematics Genetic algorithms Vehicles initial configuration unit Mathematical model Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Product Unit Gene Model and Its Application in Vehicle Leaf-Spring Configuration Design

The method of parameter configuration based upon RBF in Self-Organizing Configuration Design for vehicle leaf-spring

The genetic algorithm method for multiple depot capacitated vehicle routing problem solving

Design Configuration of Vehicle With Domain Knowledge Enhancement

Configuration Unit for Product Self-Organizing Configuration Design and Its Application

The method of structure configuration for vehicle leaf-spring based upon BP Neural Network

Genetic algorithm for vehicle routing problem with time windows and a limited number of vehicles

An Improved Genetic Algorithm for Vehicle Routing Problem of Non-full Load

Solving Vehicle Routing Problem Based on Improved Genetic Algorithm

The Method of Solving Initial Configuration Unit of Probability in Product Self-Configuration Design

Similar Documents

Product Unit Gene Model and Its Application in Vehicle Leaf-Spring Configuration Design

The method of parameter configuration based upon RBF in Self-Organizing Configuration Design for vehicle leaf-spring

The genetic algorithm method for multiple depot capacitated vehicle routing problem solving

Design Configuration of Vehicle With Domain Knowledge Enhancement

Configuration Unit for Product Self-Organizing Configuration Design and Its Application

The method of structure configuration for vehicle leaf-spring based upon BP Neural Network

Genetic algorithm for vehicle routing problem with time windows and a limited number of vehicles

An Improved Genetic Algorithm for Vehicle Routing Problem of Non-full Load

Solving Vehicle Routing Problem Based on Improved Genetic Algorithm

The Method of Solving Initial Configuration Unit of Probability in Product Self-Configuration Design