Hybrid particle swarm optimization for flow shop scheduling with stochastic processing time

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3801 LNAI, Issue , 2005, Pages 630-637

  Liu, Bo ^a   Wang, Ling ^a,b   Jin, Yi Hui ^a  

^a TSINGHUA UNIVERSITY   (China)

^b SHANDONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL CIRCUITS; COMPUTER SIMULATION; OPTIMIZATION; RANDOM PROCESSES; SIMULATED ANNEALING;

FLOW SHOP SCHEDULING; HYBRID ALGORITHM; HYBRID PARTICLE SWARM OPTIMIZATION; HYPOTHESIS TEST; PRODUCTION SCHEDULING; STOCHASTIC PROCESSING TIME;

SCHEDULING;

EID: 33646827839     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_93     Document Type: Conference Paper

References (8)

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3. Liu, B., Wang, L., Jin, Y.H., Huang, D.X.: Advances in Particle Swarm Optimization Algorithm. Control and Instruments in Chemical Industry 32 (2005) 1-6
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5. Liu, B., Wang, L., Jin, YH., Huang, DX.: Designing Neural Networks Using Hybrid Particle Swarm Optimization. Lecture Notes in Computer Science, Vol. 3496. Springer-Verlag, Berlin Heidelberg (2005) 391-397
6. Wang, L., Zhang, L., Zheng, D.Z.: A Class of Hypothesis-test Based Genetic Algorithm for Flow Shop Scheduling with Stochastic Processing Time. Int J. Adv. Manuf. Technol 25 (2005) 1157-1163
7. Wang, L., Zheng, DZ.: An Effective Hybrid Heuristic for Flow Shop Scheduling. Int. J. Adv. Manuf. Technol. 21 (2003) 38-44
8. Wang, L., Zheng, DZ.: An Effective Hybrid Optimization Strategy for Job-shop Scheduling Problems. Comput. Oper. Res. 28 (2001) 585-596