Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming with Similarity Weight Tournament Selection

IEEE Transactions on Evolutionary Computation

Volumn 19, Issue 5, 2015, Pages 679-693

  Wang, Lin ^a   Yang, Bo ^a   Wang, Shoude ^a   Liang, Zhifeng ^a  

^a UNIVERSITY OF JINAN   (China)

Author keywords

Cement Hydration Kinetics; Evolutionary Computation; Reverse Modeling; Similarity Weight Tournament

Indexed keywords

CEMENTS; COMPRESSIVE STRENGTH; EVOLUTIONARY ALGORITHMS; GENE EXPRESSION; GENES; IMAGE SEGMENTATION; KINETICS; MICROSTRUCTURE; PHYSICAL PROPERTIES;

CEMENT HYDRATION; DIVERSITY OF POPULATIONS; GENE EXPRESSION PROGRAMMING; GENERALIZATION ABILITY; PHASE CLASSIFICATION; REVERSE MODELING; SIMILARITY WEIGHT TOURNAMENT; TOURNAMENT SELECTION;

HYDRATION;

EID: 84975481095     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2014.2367111     Document Type: Article

References (54)

1. J. J. Thomas et al., "Modeling and simulation of cement hydration kinetics and microstructure development," Cement Concrete Res., vol. 41, no. 12, pp. 1257-1278, 2011.
2. J. Skalny, J. Gebauer, and I. Odler, "Scanning electron microscopy in concrete petrography," in Proc. Mater. Sci. Concrete Spec. Vol. Calcium Hydroxide Concrete, Anna Maria Island, FL, USA, 2001, pp. 59-72.
3. W. Zhang, W. Sun, and H. Chen, "Reconstruction and visualization of three dimensional pore structures in cement paste by laser scanning confocal microscopy," in Proc. 1st Int. Conf. Microstruct. Relat. Durab. Cem. Comp., Nanjing, China, 2008, pp. 1333-1339.
4. D. P. Bentz et al., "The visible cement data set," J. Res. Nat. Inst. Stand. Technol., vol. 107, no. 2, pp. 137-148, 2002.
5. E. Gallucci, K. Scrivener, A. Groso, M. Stampanoni, and G. Margaritondo, "3D experimental investigation of the microstructure of cement pastes using synchrotron X-ray microtomography (mu CT)," Cement Concrete Res., vol. 37, no. 3, pp. 360-368, 2007.
6. M. A. B. Promentilla, T. Sugiyama, and K. Shimura, "Three-dimensional imaging of cement-based materials with X-ray tomographic microscopy: Visualization and quantification," in Proc. Int. Conf. Microstruct. Relat. Durab. Cem. Comp., Nanjing, China, 2008, pp. 1357-1366.
7. A. U. Ozturk, "Microstructural investigation on the relationship between microstructure and compressive strength of cement mortars," Comput. Mater. Sci., vol. 41, no. 2, pp. 127-133, 2007.
8. N. Burliona, D. Bernard, and D. Chen, "X-ray microtomography: Application to microstructure analysis of a cementitious material during leaching process," Cement Concrete Res., vol. 36, no. 2, pp. 346-357, 2006.
9. V. Cnudde, A. Cwirzen, B. Masschaele, and P. J. S. Jacobs, "Porosity and microstructure characterization of building stones and concretes," Eng. Geol., vol. 103, pp. 76-83, 2009.
10. D. P. Bentz, "Three-dimensional computer simulation of Portland cement hydration and microstructure development," J. Amer. Ceram. Soc., vol. 80, no. 1, pp. 3-21, 1997.
11. D. P. Bentz and P. E. Stutzman, "SEM analysis and computer modelling of hydration of Portland cement particles," in Petrography of Cementitous Materials, ASTM STP 1215, S. DeHayes and D. Stark, Eds. Philadelphia, PA, USA: ASTM, 1993, pp. 60-73.
12. U. Rattanasak and K. Kendall, "Pore structure of cement/pozzolan composites by X-ray microtomography," Cement Concrete Res., vol. 35, no. 4, pp. 637-640, 2005.
13. A. A. Malcolm, H. Y. Leong, A. C. Spowage, and A. P. Shacklock, "Image segmentation and analysis for porosity measurement," J. Mater. Process. Technol., vols. 192-193, pp. 391-396, Oct. 2007.
14. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1349-1380, Dec. 2000.
15. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA, USA: MIT Press, 1992.
16. J. H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence. Ann Arbor, MI, USA: Univ. Michigan Press, 1975.
17. H. M. Jennings and S. K. Johnson, "Simulation of microstructure development during the hydration of a cement compound," J. Amer. Ceram. Soc. vol. 69, no. 11, pp. 790-795, 1986.
18. K. van Breugel, "Numerical simulation of hydration and microstructural development in hardening cement paste (II): Applications," Cement Concrete Res., vol. 25, no. 3, pp. 522-530, 1995.
19. S. Bishnoi and K. L. Scrivener, "μic: A new platform for modelling the hydration of cements," Cement Concrete Res., vol. 39, no. 4, pp. 266-274, 2009.
20. J. W. Bullard, "Approximate rate constants for nonideal diffusion and their application in a stochastic model," J. Phys. Chem. A, vol. 111, no. 11, pp. 2084-2092, 2007.
21. S. Lu, E. N. Landis, and D. T. Keane, "X-ray microtomographic studies of pore structure and permeability in Portland cement concrete," Mater. Struct., vol. 39, no. 6, pp. 611-620, 2006.
22. D. P. Bentz, "Modelling cement microstructure: Pixels, particles, and property prediction," Mater. Struct., vol. 32, pp. 187-195, Apr. 1999.
23. M. Schmidt and H. Lipson, "Distilling free-form natural laws from experimental data," Science, vol. 324, no. 5923, pp. 81-85, 2009.
24. J. R. Koza, W. Mydlowec, G. Lanza, J. Yu, and M. A. Keane, "Automated reverse engineering of metabolic pathways from observed data by means of genetic programming," in Foundations of Systems Biology, H. Kitano, Ed. Cambrigde, MA, USA: MIT Press, 2001.
25. D. L. Gonzalez-Alvarez, M. A. Vega-Rodriguez, J. A. Gomez-Pulido, and J. M. Sanchez-Perez, "Predicting DNA motifs by using evolutionary multiobjective optimization," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 42, no. 6, pp. 913-925, Nov. 2012.
26. S. Kikuchi, D. Tominaga, M. Arita, K. Takahashi, and M. Tomita, "Dynamic modeling of genetic networks using genetic algorithm and S-system," Bioinformatics, vol. 19, no. 5, pp. 643-650, 2003.
27. S. Yang and S. N. Jat, "Genetic algorithms with guided and local search strategies for university course timetabling," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 41, no. 1, pp. 93-106, Jan. 2011.
28. I. R. Pordanjani, H. E. Mazin, and W. Xu, "A novel genetic programming approach for frequency-dependent modeling," IEEE Trans. Evol. Comput., vol. 17, no. 3, pp. 353-367, Jun. 2013.
29. S. Wong, M. Aaron, J. Segall, K. Lynch, and S. Mancoridis, "Reverse engineering utility functions using genetic programming to detect anomalous behavior in software," in Proc. 17th Work. Conf. Reverse Eng., Beverly, MA, USA, 2010, pp. 141-149.
30. L. Wang, B. Yang, X. Zhao, Y. Chen, and J. Chang, "Reverse extraction of early-age hydration kinetic equation from observed data of Portland cement," Sci. China Technol. Sci., vol. 53, no. 6, pp. 1540-1553, 2010.
31. L. Wang et al., "Modeling early-age hydration kinetics of Portland cement using flexible neural tree," Neural Comput. Appl., vol. 21, no. 5, pp. 877-889, 2012.
32. L. Wang, B. Yang, Y. Chen, and X. Zhao, "Predict the hydration of Portland cement using differential evolution," in Proc. IEEE Congr. Evol. Comput., Brisbane, QLD, Australia, 2012, pp. 1-5.
33. U. K. Chakraborty, "Static and dynamic modeling of solid oxide fuel cell using genetic programming," Energy, vol. 34, no. 6, pp. 740-751, 2009.
34. S. Sengupta et al., "An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 42, no. 6, pp. 1093-1102, Nov. 2012.
35. Z. Vasicek and L. Sekanina, "Evolutionary approach to approximate digital circuits design," IEEE Trans. Evol. Comput., to be published.
36. H. Cao, F. Recknagel, and P. Orr, "Parameter optimization algorithms for evolving rule models applied to freshwater ecosystems," IEEE Trans. Evol. Comput., vol. 18, no. 6, pp. 793-806, Dec. 2014.
37. H. Iba, "Inference of differential equation models by genetic programming," Inf. Sci., vol. 178, no. 23, pp. 4453-4468, 2008.
38. C. Anderson, "The end of theory: The data deluge makes the scientific method obsolete," Wired Mag., vol. 16, no. 7, Jun. 2008. [Online]. Available: http://www.wired.com/science/discoveries/magazine/16-07/ pb-theory/
39. C. Ferreira, "Gene expression programming: A new adaptive algorithm for solving problems," Compl. Syst., vol. 13, no. 2, pp. 87-129, 2001.
40. C. Ferreira, "Gene expression programming in problem solving," in Soft Computing and Industry: Recent Applications. London, U.K.: Springer, 2002, pp. 635-654.
41. M. Oltean, C. Grosan, L. Diosan, and C. Mihaila, "Genetic programming with linear representation: A survey," Int. J. Artif. Intell. Tools, vol. 19, no. 2, pp. 197-238, 2009.
42. R. A. Ketcham and W. D. Carlson, "Acquisition, optimization and interpretation of X-ray computed tomographic imagery: Applications to the geosciences," Comput. Geosci., vol. 27, no. 4, pp. 381-400, 2001.
43. L. Wang et al., "Construction of dynamic three dimensional microstructure for the hydration of cement using 3D image registration," Pattern Anal. Appl., vol. 17, no. 3, pp. 655-665, 2014.
44. M. J. D. Powell, "An efficient method for finding the minimum of a function of several variables without calculating derivatives," Comput. J., vol. 7, no. 2, pp. 155-162, 1964.
45. N. Sharma et al., "Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network," J. Med. Phys., vol. 33, no. 3, pp. 119-126, 2008.
46. B. T. Zhang and H. Muhlenbein, "Balancing accuracy and parsimony in genetic programming," Evol. Comput., vol. 3, no. 1, pp. 17-38, 1995.
47. T. Mitchell, Machine Learning. New York, NY, USA: McGraw-Hill, 1997.
48. R. H. Bogue, The Chemistry of Portland Cement. New York, NY, USA: Reinhold Publishing Corporation, 1955, pp. 245-268.
49. A. M. Neville, Properties of Concrete, 5th ed. Harlow, U.K.: Prentice Hall, 2012.
50. M. Oltean and D. Dumitrescu, "Multi expression programming," Dept. Comput. Sci., Babes-Bolyai Univ., Cluj-Napoca, Romania, Tech. Rep. UBB-01-2002, 2002.
51. Y. Chen, B. Yang, Y. Zhao, and Q. Meng, "Evolving additive trees for modeling biochemical systems," in Proc. Int. Conf. Optim. Syst. Biol., vol. 11. Zhangjiajie, China, 2009, pp. 132-141.
52. J. Bongard and H. Lipson, "Automated reverse engineering of nonlinear dynamical systems," in Proc. Nat. Acad. Sci., vol. 104. Washington, DC, USA, 2007, pp. 9943-9948.
53. U. M. O'Reilly, "Using a distance metric on genetic programs to understand genetic operators," in Proc. IEEE Int. Conf. Syst. Man Cybern., vol. 5. Orlando, FL, USA, 1997, pp. 4092-4097.
54. V. I. Levenshtein, "Binary codes capable of correcting deletions, insertions, and reversals," Sov. Phys. Dokl., vol. 10, no. 8, pp. 707-710, 1966.