NDLI: Ant Colony Algorithm and Simulated Annealing Algorithm Based Process Route Optimization

Content Provider	IEEE Xplore Digital Library
Author	Dehui Zhai Faping Zhang Bo Gao Wenli Han Tiguang Zhang Jiajun Zhang
Copyright Year	2014
Description	Author affiliation: Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China (Dehui Zhai; Faping Zhang; Bo Gao; Wenli Han; Tiguang Zhang; Jiajun Zhang)
Abstract	Process route sequencing is one of the key technologies for computer aided process planning (CAPP). In this paper, manufacturing feature was divided into several feature process elements and the precedence constraint matrix was generated by fully considering the constraint relationship among feature process elements. A hybrid algorithm, based on ant colony algorithm and simulated annealing algorithm, was proposed for process route sequencing. Considering the machine tools, cutting tools and fixtures as the manufacturing resources, minimal number of manufacturing resources changes served as the objective function to optimize the process route. The ant colony algorithm was adopted to traverse under the constraint rules among all the feature process elements, and simulated annealing algorithm was introduced to update pheromones to find the optimal process route meeting the constraint rules. To verify performance of the proposed approach, experimental studies have been conducted and comparisons have been made between this approach and some previous works. The experimental results show that the proposed approach has achieved significant improvement for process route sequencing.
Starting Page	102
Ending Page	107
File Size	446274
Page Count	6
File Format	PDF
ISBN	9781479955534
e-ISBN	9781479955541
DOI	10.1109/ES.2014.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cutting tools Fixtures Simulated annealing Feature process element Simulated annealing algorithm Turning Manufacturing Machine tools Ant colony algorithm Process route
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

A Modified Ant Colony System for the Selection of Machining Parameters

Operation sequencing using ant colony optimization technique

Path planning based quadtree representation for mobile robot using hybrid-simulated annealing and ant colony optimization algorithm

The Study on the Electric Network Planning Problem Based on the Ant Colony-Simulated Annealing Algorithm

Route optimization for bus dispatching based on improved ant colony algorithm

Hybrid Ant Colony Optimization, Genetic Algorithm, and Simulated Annealing for image contrast enhancement

The Comparison Between Genetic Simulated Annealing Algorithm and Ant Colony Optimization Algorithm for ASP

Application of adaptive ant colony algorithm in optimization of machine process manufacturing route

Ant colony optimization for community detection in large-scale complex networks

Ant Colony Algorithm and Simulated Annealing Algorithm Based Process Route Optimization

Similar Documents

A Modified Ant Colony System for the Selection of Machining Parameters

Operation sequencing using ant colony optimization technique

Path planning based quadtree representation for mobile robot using hybrid-simulated annealing and ant colony optimization algorithm

The Study on the Electric Network Planning Problem Based on the Ant Colony-Simulated Annealing Algorithm

Route optimization for bus dispatching based on improved ant colony algorithm

Hybrid Ant Colony Optimization, Genetic Algorithm, and Simulated Annealing for image contrast enhancement

The Comparison Between Genetic Simulated Annealing Algorithm and Ant Colony Optimization Algorithm for ASP

Application of adaptive ant colony algorithm in optimization of machine process manufacturing route

Ant colony optimization for community detection in large-scale complex networks

Ant Colony Algorithm and Simulated Annealing Algorithm Based Process Route Optimization