Solving Machine Loading Problem in Flexible Manufacturing Systems Using Particle Swarm Optimization

被引：0

作者：

Ponnambalam, S. G. ^{[1
]}

Kiat, Low Seng ^{[1
]}

机构：

[1] Monash Univ, Bandar Sunway 46150, Malaysia

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 29 | 2008年 / 29卷

关键词：

Machine loading problem; FMS; Particle Swarm Optimization;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a particle swarm optimization (PSO) algorithm is proposed to solve machine loading problem in flexible manufacturing system (FMS), with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time and tool slots. A mathematical model is used to select machines, assign operations and the required tools. The performance of the PSO is tested by using 10 sample dataset and the results are compared with the heuristics reported in the literature. The results support that the proposed PSO is comparable with the algorithms reported in the literature.

引用

页码：14 / 19

页数：6

共 50 条

[41] Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm
Kumar, Akhilesh
Prakash
Tiwari, M. K.
Shankar, Ravi
Baveja, Alok
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (02) : 1043 - 1069
[42] The particle swarm optimization algorithm for solving rectangular packing problem
Qi Yang
Wang Jin-min
NEW TRENDS AND APPLICATIONS OF COMPUTER-AIDED MATERIAL AND ENGINEERING, 2011, 186 : 479 - 483
[43] A Fuzzy Particle Swarm Optimization for Solving the Economic Dispatch Problem
Kumar, Sanjeev
Chaturvedi, D. K.
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1, 2012, 130 : 99 - 110
[44] A Modified Particle Swarm Optimization Algorithm for Solving DNA Problem
Khan, Talha Ali
Ling, Sai Ho
Tram, Nham
Sanagavarapu, Ananda Mohan
2019 60TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT SCIENCE OF RIGA TECHNICAL UNIVERSITY (ITMS), 2019,
[45] Solving stochastic path problem: Particle swarm optimization approach
Momtazi, Saeedeh
Kafi, Somayeh
Beigy, Hamid
NEW FRONTIERS IN APPLIED ARTIFICIAL INTELLIGENCE, 2008, 5027 : 590 - 600
[46] Solving the Flight Frequency Programming Problem with Particle Swarm Optimization
Zhan, Zhi-hui
Feng, Xin-ling
Gong, Yue-Jiao
Zhang, Jun
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, 2009, : 1383 - 1390
[47] A novel particle swarm optimization algorithm for solving transportation problem
Hao, Zhi-Feng
Huang, Han
Yang, Xiao-Wei
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2178 - +
[48] A hybrid particle swarm optimization algorithm for solving engineering problem
Qiao, Jinwei
Wang, Guangyuan
Yang, Zhi
Luo, Xiaochuan
Chen, Jun
Li, Kan
Liu, Pengbo
SCIENTIFIC REPORTS, 2024, 14 (01)
[49] Particle Swarm Optimization Method for Solving an Economic Dispatch Problem
Palsson, Fannar
Abdel-Fattah, Mohamed F.
2019 IEEE 60TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2019,
[50] Solving Parameter Identification Problem by Hybrid Particle Swarm Optimization
Zahara, Erwie
Liu, An
INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III, 2010, : 36 - +

← 1 2 3 4 5 →