A new three-dimensional manufacturing service composition method under various structures using improved Flower Pollination Algorithm

References

• Arockiam, L., and N. Sasikaladevi. 2012. “Simulated Annealing versus Genetic Based Service Selection Algorithms.” International Journal of U-And e-Service, Science and Technology 5 (1): 35–49.
   Google Scholar
• Dash, P., L. C. Saikia, and N. Sinha. 2016. “Flower Pollination Algorithm Optimized PI-PD Cascade Controller in Automatic Generation Control of a Multi-Area Power System.” International Journal of Electrical Power and Energy Systems 82: 19–28. doi:10.1016/j.ijepes.2016.02.028.
   Web of Science ®Google Scholar
• Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan. 2000. “A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II.” In Proceedings of International Conference on Parallel Problem Solving from Nature, September, 849–858. Heidelberg: Springer.
   Google Scholar
• Draa, A. 2015. “On the Performances of the Flower Pollination Algorithm – Qualitative and Quantitative Analyses.” Applied Soft Computing 34: 349–371. doi:10.1016/j.asoc.2015.05.015.
   Web of Science ®Google Scholar
• Hoang, N. D., D. T. Bui, and K. W. Liao. 2016. “Groutability Estimation of Grouting Processes with Cement Grouts Using Differential Flower Pollination Optimized Support Vector Machine.” Applied Soft Computing 45: 173–186. doi:10.1016/j.asoc.2016.04.031.
   Web of Science ®Google Scholar
• Huang, A. F., C. W. Lan, and S. J. Yang. 2009. “An Optimal QoS-based Web Service Selection Scheme.” Information Sciences 179 (19): 3309–3322. doi:10.1016/j.ins.2009.05.018.
   Web of Science ®Google Scholar
• Huang, B. Q., C. H. Li, and F. Tao. 2014. “A Chaos Control Optimal Algorithm for QoS-based Service Composition Selection in Cloud Manufacturing System.” Enterprise Information Systems 8 (4): 445–463. doi:10.1080/17517575.2013.792396.
   Web of Science ®Google Scholar
• Huang, C. C., W. Y. Liang, W. Lee, and Y. H. Lai. 2011. “Constrained Evolutionary Computing Approach to Web Service Compositions.” International Journal of Systems Science 42 (10): 1625–1638. doi:10.1080/00207721003646215.
   Web of Science ®Google Scholar
• Huang, X. R., B. G. Du, L. B. Sun, F. Chen, and W. Dai. 2016. “Service Requirement Conflict Resolution Based on Ant Colony Optimization in Group-Enterprises-Oriented Cloud Manufacturing.” International Journal of Advanced Manufacturing Technology 84 (1–4): 183–196. doi:10.1007/s00170-015-7961-x.
   Web of Science ®Google Scholar
• Laili, Y. J., F. Tao, L. Zhang, Y. Cheng, Y. L. Luo, and B. R. Sarker. 2013. “A Ranking Chaos Algorithm for Dual Scheduling of Cloud Service and Computing Resource in Private Cloud.” Computers in Industry 64 (4): 448–463. doi:10.1016/j.compind.2013.02.008.
   Web of Science ®Google Scholar
• Li, H. B., K. C. Chan, M. X. Liang, and X. Y. Luo. 2016. “Composition of Resource-Service Chain for Cloud Manufacturing.” IEEE Transactions on Industrial Informatics 12 (1): 211–219.
   Web of Science ®Google Scholar
• Mahdad, B., and K. Srairi. 2016. “Security Constrained Optimal Power Flow Solution Using New Adaptive Partitioning Flower Pollination Algorithm.” Applied Soft Computing 46: 501–522. doi:10.1016/j.asoc.2016.05.027.
   Web of Science ®Google Scholar
• Nabil, E. 2016. “A Modified Flower Pollination Algorithm for Global Optimization.” Expert Systems with Applications 57: 192–203. doi:10.1016/j.eswa.2016.03.047.
   Web of Science ®Google Scholar
• Pop, F. C., D. Pallez, M. Cremene, A. Tettamanzi, M. Suciu, and M. Vaida. 2011. “QoS-based Service Optimization Using Differential Evolution.” In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, July, 1891–1898. New York, NY:  ACM .
   Google Scholar
• Rodrigues, D., G. F. Silva, J. P. Papa, A. N. Marana, and X. S. Yang. 2016. “EEG-based Person Identification through Binary Flower Pollination Algorithm.” Expert Systems with Applications 62: 81–90. doi:10.1016/j.eswa.2016.06.006.
   Web of Science ®Google Scholar
• Sayed, S. A., E. Nabil, and A. Badr. 2016. “A Binary Clonal Flower Pollination Algorithm for Feature Selection.” Pattern Recognition Letters 77: 21–27. doi:10.1016/j.patrec.2016.03.014.
   Web of Science ®Google Scholar
• Sharawi, M., E. Emary, I. Saroit, and H. El-Mahdy. 2014. “Flower Pollination Optimization Algorithm for Wireless Sensor Network Lifetime Global Optimization.” International Journal of Soft Computing and Engineering 4 (3): 54–59.
   Google Scholar
• Sun, S. X., and J. Zhao. 2012. “A Decomposition-Based Approach for Service Composition with Global QoS Guarantees.” Information Sciences 199: 138–153. doi:10.1016/j.ins.2012.02.061.
   Web of Science ®Google Scholar
• Tao, F., Y. F. Hu, and Z. D. Zhou. 2009. “Application and Modeling of Resource Service trust-QoS Evaluation in Manufacturing Grid System.” International Journal of Production Research 47 (6): 1521–1550. doi:10.1080/00207540701551927.
   Web of Science ®Google Scholar
• Tao, F., D. M. Zhao, Y. F. Hu, and Z. D. Zhou. 2010. “Correlation-Aware Resource Service Composition and Optimal-Selection in Manufacturing Grid.” European Journal of Operational Research 201 (1): 129–143. doi:10.1016/j.ejor.2009.02.025.
   Web of Science ®Google Scholar
• Tao, F., D. M. Zhao, and L. Zhang. 2010. “Resource Service Optimal-Selection Based on Intuitionistic Fuzzy Set and Non-Functionality QoS in Manufacturing Grid System.” Knowledge and Information Systems 25 (1): 185–208. doi:10.1007/s10115-009-0263-6.
   Web of Science ®Google Scholar
• Xiang, F., Y. F. Hu, Y. R. Yu, and H. C. Wu. 2014. “QoS and Energy Consumption Aware Service Composition and Optimal-Selection Based on Pareto Group Leader Algorithm in Cloud Manufacturing System.” Central European Journal of Operations Research 22 (4): 663–685. doi:10.1007/s10100-013-0293-8.
   Web of Science ®Google Scholar
• Xiang, F., G. Z. Jiang, L. Xu, and N. Wang. 2016. “The Case-Library Method for Service Composition and Optimal Selection of Big Manufacturing Data in Cloud Manufacturing System.” International Journal of Advanced Manufacturing Technology 84 (1–4): 59–70. doi:10.1007/s00170-015-7813-8.
   Web of Science ®Google Scholar
• Xie, Y. Q., Z. D. Zhou, D. T. Pham, W. J. Xu, and C. Q. Ji. 2015. “A Multiuser Manufacturing Resource Service Composition Method Based on the Bees Algorithm.” Computational Intelligence and Neuroscience 12: 1–13. doi:10.1155/2015/780352.
   Web of Science ®Google Scholar
• Xu, W., S. Tian, Q. Liu, Y. Xie, Z. Zhou, and D. T. Pham. 2016. “An Improved Discrete Bees Algorithm for Correlation-Aware Service Aggregation Optimization in Cloud Manufacturing.” International Journal of Advanced Manufacturing Technology 84 (1–4): 17–28. doi:10.1007/s00170-015-7738-2.
   Web of Science ®Google Scholar
• Yang, X. S. 2012. “Flower Pollination Algorithm for Global Optimization.” In Proceedings of the 17th International Conference on Unconventional Computation and Natural Computation, September, 240–249. Orléans: Springer.
   Google Scholar
• Zeng, L., B. Benatallah, A. H. Ngu, M. Dumas, J. Kalagnanam, and H. Chang. 2004. “QoS-aware Middleware for Web Services Composition.” IEEE Transactions on Software Engineering 30 (5): 311–327. doi:10.1109/TSE.2004.11.
   Web of Science ®Google Scholar
• Zhang, W. Y., S. Zhang, M. Cai, and J. X. Huang. 2011. “A New Manufacturing Resource Allocation Method for Supply Chain Optimization Using Extended Genetic Algorithm.” International Journal of Advanced Manufacturing Technology 53 (9–12): 1247–1260. doi:10.1007/s00170-010-2900-3.
   Web of Science ®Google Scholar
• Zhang, W. Y., S. Zhang, and S. S. Guo. 2017. “A PageRank-based Reputation Model for Personalised Manufacturing Service Recommendation.” Enterprise Information Systems 11 (5): 672–693. doi:10.1080/17517575.2015.1077998.
   Web of Science ®Google Scholar
• Zhang, W. Y., S. Zhang, S. S. Guo, Y. S. Yang, and Y. Chen. 2017. “Concurrent Optimal Allocation of Distributed Manufacturing Resources Using Extended Teaching-Learning-Based Optimization.” International Journal of Production Research 55 (3): 718–735. doi:10.1080/00207543.2016.1203078.
   Web of Science ®Google Scholar
• Zheng, H., Y. X. Feng, and J. R. Tan. 2016. “A Fuzzy QoS-aware Resource Service Selection considering Design Preference in Cloud Manufacturing System.” International Journal of Advanced Manufacturing Technology 84 (1–4): 371–379. doi:10.1007/s00170-016-8417-7.
   Web of Science ®Google Scholar