Comparison of SOM-based optimization and particle swarm optimization for minimizing the construction time of a secant pile wall

Automation in Construction

Volumn 18, Issue 6, 2009, Pages 844-848

  Chen, Jieh Haur ^a   Yang, Li Ren ^b   Su, Mu Chun ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b TAMKANG UNIVERSITY   (Taiwan)

Author keywords

Construction time; Optimization; Particle swarm; Secant pile wall; Self organizing map

Indexed keywords

BORED PILES; BROKEN DOWN; CONSTRUCTION TIME; EFFICIENT CONSTRUCTION; HYPER-PLANE; LOCAL OPTIMIZATIONS; OPTIMAL CONSTRUCTION; OPTIMIZATION METHOD; PARTICLE SWARM; SECANT PILE WALL; SECANT PILE WALLS; WORK ACTIVITIES;

PILES; SELF ORGANIZING MAPS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67649101322     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2009.03.008     Document Type: Article

References (27)

1. Heqazy T. Optimization of construction time-cost trade-off analysis using genetic algorithms. Canadian Journal of Civil Engineering 26 6 (1999) 685-697
2. Chassiakos A.P., and Sakellaropoulos S.P. Time-cost optimization of construction projects with generalized activity constraints. Journal of Construction Engineering and Management 131 10 (2005) 1115-1124
3. Que B.C. Incorporating practicability into genetic algorithm-based time-cost optimization. Journal of Construction Engineering and Management 128 2 (2002) 139-143
4. Zheng D.X.M., Ng S.T., and Kumaraswamy M.M. Applying a genetic algorithm-based multiobjective approach for time-cost optimization. Journal of Construction Engineering and Management 130 2 (2004) 168-176
5. Zheng D.X.M., and Ng S.T. Stochastic time-cost optimization model incorporating fuzzy sets theory and nonreplaceable front. Journal of Construction Engineering and Management 131 2 (2005) 176-186
6. El-Rayes K., and Kandil A. Time-cost-quality trade-off analysis for highway construction. Journal of Construction Engineering and Management 131 4 (2005) 477-486
7. Moussourakis J., and Haksever C. Flexible model for time/cost tradeoff problem. Journal of Construction Engineering and Management 130 3 (2004) 307-314
8. Xiong Y., and Kuang Y.-P. Time-cost trade-off of construction project based on ant colony algorithm. System Engineering Theory and Practice 27 3 (2007) 105-111
9. Zhang H., Tam C.M., Li H., and Shi J.J. Particle swarm optimization-supported simulation for construction operations. Journal of Construction Engineering and Management 132 12 (2006) 1267-1274
10. Chau K. Predicting construction litigation outcome using particle swarm optimization. Lecture Notes in Computer Science 3533 LNAI (2005) 571-578
11. Chau K.W. Application of a PSO-based neural network in analysis of outcomes of construction claims. Automation in Construction 16 5 (2007) 642-646
12. Zhang H., Li H., and Tam C.M. Particle swarm optimization for preemptive scheduling under break and resource-constraints. Journal of Construction Engineering and Management 132 3 (2006) 259-267
13. Zhang H., Li X., Li H., and Huang F. Particle swarm optimization-based schemes for resource-constrained project scheduling. Automation in Construction 14 3 (2005) 393-404
14. Kohonen T. Self-Organization Maps (1995), Springer-Verlag, Berlin, Germany
15. Yuan J., and Zhou Z.H. SOM ensemble-based image segmentation. Neural Processing Letters 20 3 (2004) 171-178
16. Sullivan T.J., and de Sa V.R. A temporal trace and SOM-based model of complex cell development. Neurocomputing 58-60 (2004) 827-833
17. Moya-Anegon F., Herrero-Solana V., and Jimenez-Contreras E. A connectionist and multivariate approach to science maps: the SOM, clustering and MDS applied to library and information science research. Journal of Information Science 32 1 (2006) 63-77
18. Su M.C., and Chang H.C. Fast self-organizing feature map algorithm. IEEE Transactions on Neural Networks 13 3 (2000) 721-733
19. Su M.C., Zhao Y.X., and Lee J. SOM-based optimization. Proceedings of 2004 IEEE International Joint Conf. on Neural Networks IJCNN, Budapest, Hungary (2004) 781-786
20. Haykin S. Neural Networks. 2nd edition (1999), Prentice Hall, Upper Saddle River, NJ
21. Kohonen T. Self-Organization Maps (1995), Springer-Verlag, Berlin, Germany
22. Su M.C., Liu T.K., and Chang H.T. An efficient initialization scheme for the self-organizing feature map algorithm. IEEE Int. Joint Conference on Neural Networks (1999) 1906-1910
23. Kennedy J., and Eberhart R.C. Particle swarm optimization. Proceedings of 1995 IEEE Conf. on Neural Networks, IV, Piscataway, NJ (1995) 1942-1948
24. Eberhart R.C., and Shi Y. Tracking and optimizing dynamic system with particle swarms. Proceeding of IEEE Congress on Evolutionary Computation CEC Piscataway, NJ (2001) 94-97
25. Kennedy J., Eberhart R.C., and Shi Y. Swarm Intelligence (2001), Morgan Kaufmann, San Francisco, CA
26. Clerc M., and Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions in Evolutionary Computation 6 1 (2002) 58-73
27. Land Transportation Authority, http://www.lta.gov.sg/, Singapore (2007)