Multiobjective production planning optimization using hybrid evolutionary algorithms for mineral processing

IEEE Transactions on Evolutionary Computation

Volumn 15, Issue 4, 2011, Pages 487-514

  Yu, Gang ^a   Chai, Tianyou ^b   Luo, Xiaochuan ^b  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Gradient based operator; hybrid multiobjective evolutionary algorithm; multiobjective production planning optimization; production indices

Indexed keywords

COMPUTATIONAL EXPERIMENT; CONCENTRATE GRADE; CONCENTRATION RATIO; CONVEX CONE; CROSSOVER AND MUTATION; GRADIENT BASED; GRADIENT DIRECTION; HYBRID EVOLUTIONARY ALGORITHM; MINERAL PROCESSING; MINERAL RESOURCE UTILIZATION; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NON-RENEWABLE; NONDOMINATED SOLUTIONS; NONLINEAR MULTIOBJECTIVE PROGRAMMING; NSGA-II; OBJECTIVE FUNCTIONS; PARETO FRONT; PRODUCTION COST; PRODUCTION INDEX; PRODUCTION INDICES; PRODUCTION PLANNING; RUNNING TIME; STANDARD TESTS;

COMPUTER PROGRAMMING; CONES; EXPERIMENTS; MATHEMATICAL OPERATORS; METAL RECOVERY; MINERAL RESOURCES; MULTIOBJECTIVE OPTIMIZATION; PLANNING; PRODUCTION CONTROL; PRODUCTION ENGINEERING; PROJECT MANAGEMENT; SILICATE MINERALS;

EVOLUTIONARY ALGORITHMS;

EID: 79961065923     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2010.2073472     Document Type: Article

References (45)

1. J. A. C. Saavedra, "A study of integrating milling parameters into mine planning and the impact on NPV," M.S. thesis, Dept. Mining Eng., Queen's Univ., Kingston, ON, Canada, 2003.
2. S. J. Neethling and J. J. Cilliers, "Predicting and correcting graderecovery curves: Theoretical aspects," Miner. Process., vol. 89, nos. 1-4, pp. 17-22, Dec. 2008.
3. E. J. Ma, T. Y. Chai, and R. Bai, "The optimization methods based on non-dominated sorting genetic algorithm for scheduling of material flow in mineral process," in Proc. IMACS Conf. CESA, 2006, pp. 2039-2044.
4. D. Hodouin, S.-L. Jämsä-Jounela, M. T. Carvalho, and L. Bergh, "State of the art and challenges in mineral processing control," Control Eng. Practice, vol. 9, no. 9, pp. 995-1005, 2001. (Pubitemid 32925998)
5. W.-X. Xu and Y.-M. Wei, "Multiple objective-integrated methodology of global optimum decision-making on mineral resources exploitation," Comput. Ind. Eng., vol. 46, no. 2, pp. 363-372, Apr. 2004.
6. E. G. Kelly, Evaluation and Optimization of Metallurgical Performance. Littleton, CO: SME, Inc., 1991, pp. 239-252.
7. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, Apr. 2002. (Pubitemid 34555372)
8. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the strength Pareto evolutionary algorithm," Swiss Federal Inst. Technol. (ETH), Zurich, Switzerland, Comput. Eng. Networks Lab. (TIK), Munich, Germany, Tech. Rep. 103, 2001.
9. X. L. Huang, N. Sun, W. Liu, and J. X. Wei, "Research on particle swarm optimization and its industrial application," in Proc. 3rd ICNC, 2007, pp. 725-729.
10. X. L. Huang, Y. Hu, and T. Y. Chai, "Production process management system for production indices optimization of mineral processing," in Proc. 16th IFAC World Congr., Jul. 2005 [Online]. Available: http://www.nt.ntnu.no/ users/skoge/prost/proceedings /ifac2005/Papers/Paper4246.html
11. X. L. Huang, J. L. Ding, and T. Y. Chai, "Study of scheduling based on production indices optimization for mineral processing," J. Syst. Eng., vol. 21, no. 2, pp. 136-142, 2006.
12. L. While, L. Barone, P. Hingston, S. Huband, D. Tuppurainen, and R. Bearman, "A multiobjective evolutionary algorithm approach for crusher optimization and flowsheet design," Miner. Eng., vol. 17, nos. 11-12, pp. 1063-1074, 2004.
13. S. Huband, L. Barone, P. Hingston, L. While, D. Tuppurainen, and R. Bearman, "Designing comminution circuits with a multiobjective evolutionary algorithm," in Proc. IEEE Congr. Evol. Comput., 2005, pp. 1815-1822. (Pubitemid 41496069)
14. C. Guria, M. Verma, S. P. Mehrotra, and S. K. Gupta, "Multiobjective optimal synthesis and design of froth flotation circuits for mineral processing, using the jumping gene adaptation of genetic algorithm," Ind. Eng. Chem. Res., vol. 44, no. 8, pp. 2621-2633, 2005. (Pubitemid 40622257)
15. C. Guria, M. Verma, S. P. Mehrotra, and S. K. Gupta, "Simultaneous optimization of the performance of flotation circuits and their simplification using the jumping gene adaptations of genetic algorithm," Int. J. Mineral Process., vol. 77, no. 3, pp. 165-185, 2005. (Pubitemid 41382631)
16. P. Svedensten and C. M. Evertsson, "Crushing plant optimization by means of a genetic evolutionary algorithm," Mineral Eng., vol. 18, no. 5, pp. 473-479, 2005. (Pubitemid 40339829)
17. S. Huband, D. Tuppurainen, L. While, L. Barone, P. Hingston, and R. Bearman, "Maximising overall value in plant design," Mineral Eng., vol. 19, no. 15, pp. 1470-1478, Dec. 2006. (Pubitemid 44711884)
18. K. Mitra and R. Gopinath, "Multiobjective optimization of an industrial grinding operation using elitist nondominated sorting genetic algorithm," Chem. Eng. Sci., vol. 59, no. 2, pp. 385-396, Jan. 2004. (Pubitemid 38136052)
19. J. E. Everett, "Iron ore production scheduling to improve product quality," Eur. J. Oper. Res., vol. 129, no. 2, pp. 355-361, Mar. 2001. (Pubitemid 32035359)
20. E. J. Ma, T. Y. Chai, and Z. X. Jin, "Intelligent optimization methods for determining rational monthly comprehensive production indices of ore-dressing," J. Syst. Eng., vol. 24, no. 2, pp. 238-242, 2009.
21. E. J. Ma, T. Y. Chai, and R. Bai, "Optimization methods based on particle swarm algorithm for daily global production indices of mineral process," J. Syst. Simulation, vol. 19, no. 20, pp. 4785-4789, 2007.
22. E. J. Ma and T. Y. Chai, "Optimization decomposition methods based on particle swarm algorithm for daily production indices of mineral process," Comput. Integr. Manuf. Syst., vol. 13, no. 8, pp. 1624-1631, 2007.
23. B. A. Wills and T. J. Napier-Munn, Mineral Processing Technology, 7th ed. London, U.K.: Butterworth-Heinemann, 2006, ch. 3.
24. M. C. Fuerstenau and K. N. Han, Principles of Mineral Processing. New York: Society for Mining Metallurgy and Exploration, 2003, ch. 10.
25. R. Salomon, "Evolutionary algorithms and gradient search: Similarities and differences," IEEE Trans. Evol. Comput., vol. 2, no. 2, pp. 45-55, Jul. 1998. (Pubitemid 128748403)
26. D. G. Luenberger, Optimization by Vector Space Methods. New York: Wiley, 1969, ch. 10.
27. M. Brown and R. E. Smith, "Effective use of directional information in multiobjective evolutionary computation," in Proc. 5th Annu. Genet. Evol. Comput. Conf., 2003, pp. 778-789.
28. C. P. Simon and L. E. Blume, Mathematics for Economists. New York: W. W. Norton, 1994, ch. 14.
29. C. K. Goh, Y. S. Ong, K. C. Tan, and E. J. Teoh, "An investigation on evolutionary gradient search for multiobjective optimization," in Proc. IEEE Congr. Evol. Comput., 2008, pp. 3741-3746.
30. P. K. Shukla, "Gradient based stochastic operators in evolutionary multiobjective optimization," in Proc. 8th ICANNGA. Adaptive Natural Comput. Algorithms, 2007, pp. 58-66.
31. P. K. Shukla, "On gradient based local search in unconstrained evolutionary multiobjective optimization," in Proc. 4th EMO Conf., 2007, pp. 96-110. (Pubitemid 350270880)
32. M. Brown and R. E. Smith, "Directed multiobjective optimization," Int. J. Comput., vol. 6, no. 1, pp. 3-17, 2005.
33. J. C. Spall, "Implementation of the simultaneous perturbation algorithm for stochastic optimization," IEEE Trans. Aerospace Electron. Syst., vol. 34, no. 3, pp. 817-823, Jul. 1998. (Pubitemid 128737755)
34. P. A. N. Bosman and E. D. de Jong, "Exploiting gradient information in numerical multiobjective evolutionary optimization," in Proc. GECCO, 2005, pp. 755-762. (Pubitemid 43226372)
35. P. A. N. Bosman and E. D. de Jong, "Combining gradient techniques from numerical multiobjective evolutionary optimization," in Proc. GECCO, 2006, pp. 627-634. (Pubitemid 44611382)
36. Y. G. Woldesenbet, G. G. Yen, and B. G. Tessema, "Constraint handling in multiobjective evolutionary optimization," IEEE Trans. Evol. Comput., vol. 13, no. 3, pp. 514-525, Jun. 2009.
37. A. G. Hernandez-Diaz, C. A. Coello, L. V. Santana-Quintero, F. Perez, J. Molina, and R. Caballero, "On the use of projected gradients for constrained multiobjective optimization problems," in Proc. 10th PPSN Conf., 2008, pp. 680-690.
38. U. M. García-Palomares, J. C. Burguillo-Rial, and F. J. González-Castaño, "Explicit gradient information in multiobjective optimization," Oper. Res. Lett., vol. 36, no. 6, pp. 722-725, Nov. 2008.
39. Y. Wang, Z. X. Cai, Y. R. Zhou, and W. Zeng, "An adaptive tradeoff model for constrained evolutionary optimization," IEEE Trans. Evol. Comput., vol. 12, no. 1, pp. 80-92, Feb. 2008. (Pubitemid 351330333)
40. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler, "Pisa: A platform and programming language independent interface for search algorithms," in Proc. Conf. EMO, 2003, pp. 494-508.
41. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, no. 4, pp. 257-271, Nov. 1999. (Pubitemid 30544879)
42. E. Zitzler, K. Deb, and L. Thiele, "Comparison of multiobjective evolutionary algorithms: Empirical results," Evol. Comput., vol. 8, no. 2, pp. 173-195, 2000.
43. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. G. Fonseca, "Performance assessment of multiobjective opimizers: An analysis and review," IEEE Trans. Evol. Comput., vol. 7, no. 2, pp. 117-132, Apr. 2003.
44. E. Zitzler and S. Künzli, "Indicator-based selection in multiobjective search," in Proc. PPSN VIII, 2004, pp. 832-842. (Pubitemid 39750284)
45. E. Zitzler, D. Brockhoff, and L. Thiele, "The hypervolume indicator revised: On the design of Pareto-compliant indicators via weighted integration," in Proc. Conf. EMO, 2007, pp. 862-876. (Pubitemid 350270931)