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Science and Technology of Nuclear Installations
Volume 2016, Article ID 2150692, 9 pages
http://dx.doi.org/10.1155/2016/2150692
Research Article

Nuclear Power Plant Construction Scheduling Problem with Time Restrictions: A Particle Swarm Optimization Approach

1Department of Computer Science and Information Engineering, Yuanpei University of Medical Technology, Hsinchu 23568, Taiwan
2Department of Computer Science and Information Engineering, Hwa Hsia University of Technology, No. 111, Gong Jhuan Road, Chung Ho, Taipei 23568, Taiwan
3Department of Applied Mathematics, Chinese Culture University, No. 55, Hwa-Kang Road, Yang-Ming-Shan, Taipei 11114, Taiwan

Received 16 November 2015; Revised 25 January 2016; Accepted 2 February 2016

Academic Editor: Arkady Serikov

Copyright © 2016 Shang-Kuan Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Plans For New Reactors Worldwide, http://www.world-nuclear.org/info/Current-and-Future-Generation/Plans-For-New-Reactors-Worldwide/.
  2. V. E. Whisker, A. J. Baratta, S. Yerrapathruni et al., “Using immersive virtual environments to develop and visualize construction schedules for advanced nuclear power plants,” in Proceedings of the 2nd International Congress on Advances in Nuclear Power Plants (ICAPP '03), Cordoba, Spain, May 2003. View at Scopus
  3. Y. Jung and G. E. Gibson Jr., “Planning for computer integrated construction,” Journal of Computing in Civil Engineering, vol. 13, no. 4, pp. 217–225, 1999. View at Publisher · View at Google Scholar · View at Scopus
  4. N. Dawood and E. Sriprasert, “Construction scheduling using multi-constraint and genetic algorithms approach,” Construction Management and Economics, vol. 24, no. 1, pp. 19–30, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Kaiafa and A. P. Chassiakos, “A genetic algorithm for resource allocation in construction projects,” in Proceedings of the Creative Construction Conference, pp. 386–391, Kraków, Poland, June 2015.
  6. S.-S. Leu and C.-H. Yang, “A genetic-algorithm-based resource-constrained construction scheduling system,” Construction Management and Economics, vol. 17, no. 6, pp. 767–776, 1999. View at Publisher · View at Google Scholar · View at Scopus
  7. R. B. Harris and P. G. Ioannou, “Scheduling projects with repeating activities,” Journal of Construction Engineering and Management, vol. 124, no. 4, pp. 269–278, 1998. View at Publisher · View at Google Scholar · View at Scopus
  8. J.-L. Kim, “Integrated genetic algorithm and its applications for construction resource optimization,” in Proceedings of the 43rd Winter Simulation Conference (WSC '10), pp. 3212–3219, IEEE, Baltimore, Md, USA, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. W. Y. Thabet and Y. J. Beliveau, “HVLS: horizontal and vertical logic scheduling for multistory projects,” Journal of Construction Engineering and Management, vol. 120, no. 4, pp. 875–892, 1994. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Zhou, P. E. D. Love, X. Wang, K. L. Teo, and Z. Irani, “A review of methods and algorithms for optimizing construction scheduling,” Journal of the Operational Research Society, vol. 64, no. 8, pp. 1091–1105, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. A. B. Senouci and H. R. Al-Derham, “Genetic algorithm-based multi-objective model for scheduling of linear construction projects,” Advances in Engineering Software, vol. 39, no. 12, pp. 1023–1028, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. L. D. Long and A. Ohsato, “A genetic algorithm-based method for scheduling repetitive construction projects,” Automation in Construction, vol. 18, no. 4, pp. 499–511, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. V. Faghihi, K. F. Reinschmidt, and J. H. Kang, “Construction scheduling using genetic algorithm based on building information model,” Expert Systems with Applications, vol. 41, no. 16, pp. 7565–7578, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. T.-K. Lim, C.-Y. Yi, D.-E. Lee, and D. Arditi, “Concurrent construction scheduling simulation algorithm,” Computer-Aided Civil and Infrastructure Engineering, vol. 29, no. 6, pp. 449–463, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Sonmez and F. Uysal, “Backward-forward hybrid genetic algorithm for resource-constrained multiproject scheduling problem,” Journal of Computing in Civil Engineering, vol. 29, no. 5, pp. 1509–1512, 2015. View at Publisher · View at Google Scholar
  16. S.-S. Leu and C.-H. Yang, “GA-based multicriteria optimal model for construction scheduling,” Journal of Construction Engineering and Management, vol. 125, no. 6, pp. 420–427, 1999. View at Publisher · View at Google Scholar · View at Scopus
  17. A. B. Senouci and N. N. Eldin, “Use of genetic algorithms in resource scheduling of construction projects,” Journal of Construction Engineering and Management, vol. 130, no. 6, pp. 869–877, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Agarwal, S. Colak, and S. Erenguc, “A Neurogenetic approach for the resource-constrained project scheduling problem,” Computers & Operations Research, vol. 38, no. 1, pp. 44–50, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Amiri, M. Zandieh, M. Yazdani, and A. Bagheri, “A variable neighbourhood search algorithm for the flexible job-shop scheduling problem,” International Journal of Production Research, vol. 48, no. 19, pp. 5671–5689, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  20. P. Hansen and N. Mladenovic, “Variable neighborhood search: principles and applications,” European Journal of Operational Research, vol. 130, no. 3, pp. 449–467, 2001. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. N. Mladenović and P. Hansen, “Variable neighborhood search,” Computers & Operations Research, vol. 24, no. 11, pp. 1097–1100, 1997. View at Publisher · View at Google Scholar · View at MathSciNet