Hybrid particle swarm optimization algorithm for assembly line balancing problem-2

IE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management

Volumn , Issue , 2009, Pages 979-983

  Lu, Jian Sha ^a   Jiang, Ling Ling ^a   Li, Xiu Lin ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Assembly line balancing; Assembly line balancing problem 2; Hybrid particle swarm optimization; Simulated annealing

Indexed keywords

ASSEMBLY LINE BALANCING; ASSEMBLY LINE BALANCING PROBLEMS; GLOBAL SEARCH CAPABILITY; HYBRID PARTICLE SWARM OPTIMIZATION; HYBRID PARTICLE SWARM OPTIMIZATION ALGORITHM; HYBRID PSO; LOCAL SEARCH; MATHEMATICAL DESCRIPTIONS; SOLVING PROCEDURE; STANDARD PSO;

ALGORITHMS; ASSEMBLY; ASSEMBLY MACHINES; INDUSTRIAL ENGINEERING; PARTICLE SWARM OPTIMIZATION (PSO);

SIMULATED ANNEALING;

EID: 77949450079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEEM.2009.5344217     Document Type: Conference Paper

References (10)

1. Pi X Z, Fan X M, Yan J Q. Application of genetic algorithm based on task sequences to assembly line balancing[J]. Mechanical Science and Technology for Aerospace Engineering, 2003, 22:35-38
2. Pi X Z, Fan X M, Yan J Q. Applying the genetic algorithm based on feasible task sequence to ALB2[J]. Journal of Shanghai Jiaotong University,2005, 39(7): 1123-1127.
3. Becker C, Scholl A. A survey on problems and methods in generalized assembly line balancing[J]. European J. Operational Research, 2006, 168(3): 694-715.
4. Wu J H, Xia J, Cao S H. A study on mathematical model and algorithms for ALB. Journal of System Simulation, 1999,11(5): 358-361.
5. We-Min Chow. Assembly Line Design[M]. CRC Press, 1990.
6. Helgeson WB, Birninie DP. Assembly line balancing using the ranked postitional weight techniques. Int J Prod Econ, 1961(48): 177-185.
7. H. Fatih Ugurdag, Ram Rachamadugu, Christos A. Papachristou. Designing paced assembly lines with fixed number of stations[J]. European Journal of Operational Research, 1997(102): 488-501.
8. Kennedy J, Eberhart R. Particle Swarm Optimization. IEEE International Conference on Neural Networks [J].IEEE Service Center 1995: 1942-1948.
9. Eberhart R C, Kennedy J. A new Optimizer Using Particle Swarm Theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science[J] . IEEE Service Center, 1995.
10. Shi Y, Eberhart R. Empirical study of particle swarm optimization[A]. Proceedings of Congress on Evolutionary Computation[C]. Washington DC,USA: [s.n.],1999(3):1945-1950.