Military fleet mix computation and analysis

IEEE Computational Intelligence Magazine

Volumn 7, Issue 3, 2012, Pages 53-61

  Wojtaszek, Daniel ^a   Wesolkowski, Slawomir ^a  

^a DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH COSTS; LARGE PARTS; MILITARY FLEETS; MILITARY MISSIONS; SIMULATION METHODOLOGY; U.S. AIR FORCE;

ARTIFICIAL INTELLIGENCE; MILITARY VEHICLES;

COST BENEFIT ANALYSIS;

EID: 84864197302     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2012.2200628     Document Type: Article

References (75)

1. C. P. Cavas. (2010, May). New U.S. navy f leet unaffordable: CBO. Defense News. [Online]. Available: http://www.defensenews.com/story.php?i=4644394
2. U.S. Air Force. (2011, Feb.). U.S. Air Force fiscal year 2012 budget estimates: Aircraft procurement. [Online]. Available: http://www.saffm.hq.af. mil/shared/media/document/AFD-110211-038.pdf
3. Department of Defense Fiscal Year (FY) 2012 Budget Estimates, Justification Book Vol. I, Aircraft Procurement, Air Force-3010, Feb. 2011.
4. R. C. Owen, "The airlift system: A primer," Airpower J., vol. VIV, no. 3, 1995.
5. R. Richbourg and W. K. Olson, "A hybrid expert system that combines technologies to address the problem of military terrain analysis," Expert Syst. Apps., vol. 11, no. 2, 1996.
6. T. M. Williams, R. P. Gittins, and D. M. Burke, "Replenishment at sea," J. Oper. Res. Soc., vol. 40, no. 10, 1989.
7. G. G. Brown, C. E. Goodman, and R. K. Wood, "Annual scheduling of Atlantic f leet naval combatants," Oper. Res., vol. 38, no. 2, 1990.
8. S. Baker, D. Morton, R. Rosenthal, and L. Williams, "Optimizing military airlift," Oper. Res., vol. 50, no. 4, 2002.
9. H. K. Bhargava, "Fleet mix planning in the U.S. coast guard: Issues and challenges for DSS," Naval Postgraduate School, Dept. Administ. Sci., Monterey, CA, Tech. Rep., 1991.
10. J. Couillard, "A decision support system for vehicle f leet planning," Decis. Support Syst., vol. 9, no. 2, 1993.
11. M. Rempel, "On a second generation strategic decision-making process for the Canadian forces," in NATO RTO RTOMP-SAS-081 Analytical Support to Defence Transformation, 2010.
12. A. Bender, "Designing for robustness and adaptability to improve long-term sustainability across the supply chain," presented at the Int. Defence Logistics Conf., Canberra, Australia, Nov. 19, 2009.
13. K. Willick, S. Wesolkowski, and M. Mazurek, "Multiobjective evolutionary algorithm with risk minimization on a f leet mix problem," in Proc. IEEE CEC, Barcelona, Spain, 2010.
14. H. A. Abbass, S. Alam, and A. Bender, "MEBRA: Multiobjective evolutionary-based risk assessment," IEEE Comput. Intell. Mag., vol. 4, no. 3, 2009.
15. S. Bourdon, V. Fong, and J.-D. Caron, "A capabilitybased risk assessment methodology," DRDC CORA, Tech. Rep. TR 2010-172, 2010.
16. L. T. Bui, M. Barlow, and H. A. Abbass, "A multiobjective risk-based framework for mission capability planning," New Math. Nat. Comput., vol. 5, no. 2, 2009.
17. W. Zhao, J. Liu, H. A. Abbass, and A. Bender, "A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing," in Proc. IEEE CEC, Barcelona, Spain, 2010.
18. H. A. Abbass, A. Bender, H. Dam, S. Baker, J. Whitacre, and R. Sarker, "Computational scenario-based capability planning," in Proc. GECCO, 2008.
19. S. Baker, A. Bender, H. A. Abbass, and R. Sarker, "A scenario-based evolutionary scheduling approach for assessing future supply chain f leet capabilities," in Evolutionary Scheduling (Studies in Computational Intelligence), P. Cowling, K. Tan, and K. Dahal, Eds. Berlin, Germany: Springer-Verlag, 2007.
20. B. L. Kaluzny, R. H. A. D. Shaw, A. Ghanmi, and B. Kim, "An optimisation model for airlift load planning: GALAHAD and the quest for the 'holy grail'," in Proc. IEEE CISDA, Ottawa, Canada, 2009.
21. S. Wesolkowski, M. Mazurek, and L. Stuive, "Optimal aircraft loading via multiobjective evolutionary optimization," in Proc. NATO Workshop on Modeling and Simulation of Complex Systems in Public Safety and Military Operations, Ottawa, Canada, NATO MSG-082, May 2010.
22. M. Mazurek and S. Wesolkowski, "Fleet mix computation using evolutionary multiobjective optimization," in Proc. IEEE Computational Intelligence Symp. Multi-Criteria Decision Making, Nashville, TN, 2009.
23. P. K. Davis, S. C. Bankes, and M. Egner, Enhancing Strategic Planning with Massive Scenario Generation: Theory and Experiments. RAND Corp., 2007.
24. A. Forsyth, G. Horne, and S. Upton, "Marine Corps applications of data farming," in Proc. Winter Simulation Conf., 2005.
25. H. A. Abbass, A. Bender, S. Baker, and R. Sarker, "Anticipating future scenarios for the design of modularised vehicle and trailer fleets," in Proc. SimTecT, 2007.
26. A. Pincombe, A. Bender, and F. Bowden, "Studying f lexibility in modularisable vehicle systems," ANZIAM J., vol. 49, 2007.
27. J. Whitacre, A. Bender, S. Baker, Q. Fan, R. Sarker, and H. A. Abbass, "Network topology and time criticality effects in the modularised f leet mix problem," in Proc. SimTecT, 2008.
28. A. Ghanmi, L. Stuive, and S. Wesolkowski, "Tactical vehicle f leet mix optimization," in Proc. Summer Computer Simulation Multiconf., Ottawa, Canada, 2010.
29. M. Fisher, "An interactive optimization system for bulk-cargo ship scheduling," Naval Res. Logistics, vol. 36, no. 1, 1989.
30. J. Kewley, R. H. and M. Embrechts, "Fuzzy-genetic decision optimization for positioning of military combat units," in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, 1998, vol. 4.
31. T. T. Wu, W. B. Powell, and A. Whisman, "The optimizing-simulator: An illustration using the military airlift problem," ACM Trans. Model. Comput. Simul., vol. 19, 2009.
32. S. Wesolkowski, M. Mazurek, J. Whitacre, H. A. Abbass, and A. Bender, "Robustness and adaptability analysis of future military air transportation f leets," in Proc. SimTecT, Adelaide, Australia, 2009.
33. M. Barlow, A. Yang, and H. A. Abbass, "A temporal risk assessment framework for planning a future force structure," in Proc. IEEE Symp. Computational Intelligence in Security and Defense Applications, 2007.
34. G. G. Brown, R. Clemence, W. Teufert, and R. Wood, "An optimization model for modernizing the army's helicopter fleet," Interfaces, vol. 21, no. 4, 1991.
35. D. S. I. Hartley, "Verification & validation in military simulations," in Proc. Winter Simulation Conf., 1997.
36. M. Bailey, R. Dell, and K. Glazebrook, "Simulation-based dynamic optimization: Planning United States Coast Guard law enforcement patrols," in Proc. Winter Simulation Conf., 1994.
37. D. Popken and L. Cox, "A simulation-optimization approach to air warfare planning," J. Defence Model. Simul., vol. 1, no. 3, 2004.
38. A. Yang, H. A. Abbass, and R. Sarker, "Land combat scenario planning: A multiobjective approach," in Simulated Evolution and Learning (Lecture Notes in Computer Science, vol. 4247), T.-D. Wang, X. Li, S.-H. Chen, X. Wang, H. Abbass, H. Iba, G. Chen, and X. Yao, Eds. Berlin: Springer-Verlag, 2006.
39. A. Yang, H. A. Abbass, and R. Sarker, "Characterizing warfare in red teaming," IEEE Trans. Syst., Man, Cybern., B, vol. 36, no. 1, 2006.
40. N. K. Jaiswal, Military Operations Research: Quantitative Decision Making. Boston, MA: Kluwer, 1997.
41. Y. Dumas, J. Desrosiers, E. Gelinas, and M. Solomon, "An optimal algorithm for the traveling salesman problem with time windows," Oper. Res., vol. 43, no. 2, 1995.
42. L. D. Bodin, B. L. Golden, A. A. Assad, and M. O. Ball, "Routing and scheduling of vehicles and crews: The state of the art," Comp. Oper. Res., vol. 10, no. 2, 1983.
43. D. Ronen, "Ship scheduling: The last decade," Eur. J. Oper. Res., vol. 71, no. 3, 1993.
44. P. Toth and D. Vigo, Eds., The Vehicle Routing Problem (SIAM Monographs on Discrete Mathematics and Application). Philadelphia, PA: SIAM Publishing, 2001.
45. J.-Y. Potvin and S. Bengio, "The vehicle routing problem with time windows-Part II: Genetic search," Informs J. Comput., vol. 8, 1996.
46. L. Gambardella, E. Taillard, and G. Agazzi, "MACSVRPTW: A multiple colony system for vehicle routing problems with time windows," in New Ideas in Optimization, 1999.
47. E. Taillard, "A heuristic column generation method for the heterogeneous f leet VRP," RAIRO Oper. Res., vol. 33, no. 1, 1999.
48. N. R. Achuthan and L. Caccetta, "Integer linear programming formulation for a vehicle routing problem," Eur. J. Oper. Res., vol. 52, no. 1, 1991.
49. V. Wing, R. Rice, R. Sherwood, and R. Rosenthal, "Determining the optimal mobility mix," Force Des. Div., The Pentagon, Washington, DC, Tech. Rep., 1991.
50. K. Yost, "The THRUPUT strategic airlift f low optimization model," Air Force Studies and Analyses Agency, The Pentagon, Washington, DC, Tech. Rep., 1994.
51. M. Mattock, J. Schank, J. Stucker, and J. Rothenberg, "New capabilities for strategic mobility analysis using mathematical programming," RAND Corp., Tech. Rep. MR-296-JS, 1995.
52. R. Rosenthal, D. Morton, S. Baker, T. Lim, D. Fuller, D. Goggins, A. Toy, Y. Turker, D. Horton, and D. Briand, "Application and extension of the THRUPUT II optimization model for airlift mobility," Mil. Oper. Res., vol. 3, no. 2, 1997.
53. D. Goggins, "Stochastic modeling for airlift mobility," Master's thesis, Naval Postgraduate School, Monterey, CA, 1995.
54. A. Niemi, "Stochastic modeling for the NPS/RAND mobility optimization model," Dept. Industrial Eng., Univ. Wisconsin-Madison, Tech. Rep., 2000.
55. D. Morton, J. Salmeron, and R. Wood, "A stochastic program for optimizing military sealift subject to attack," in Stochastic Programming e-Print Series, 2002.
56. K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms. New York: Wiley, 2001.
57. K. Deb, A. Pratab, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGAII," IEEE Trans. Evol. Comput., 2002.
58. S. Wesolkowski and A. Billyard, "The Stochastic Fleet Estimation (SaFE) model," in Proc. Spring Simulation Multiconf., Ottawa, Canada, 2008.
59. N. S. Walmsley and P. Hearn, "Balance of investment in armoured combat support vehicles: An application of mixed integer programming," J. Oper. Res. Soc., vol. 55, 2004.
60. T. Etezadi and J. E. Beasley, "Vehicle f leet composition," J. Oper. Res. Soc., vol. 34, no. 1, 1983.
61. L. Stuive, S. Wesolkowski, and A. Ghanmi, "Tactical vehicle fleet mix computation using evolutionary optimization," in Proc. IEEE CEC, Barcelona, Spain, 2010.
62. W. Gill, R. R. Egudo, P. J. Dortmans, D. Grieger, and S. Defence, "Using agent based distillations in support of the army capability development process-A case study," DSTO Australia, Tech. Rep. DSTO-TR-1378, 2002.
63. A. Ilachinski, Artificial War: Multiagent-Based Simulation of Combat. Singapore: World Scientific, 2004.
64. H. A. Abbass, A. Bender, S. Gaidow, and P. Whitbread, "Computational red teaming: Past, present and future," IEEE Comput. Intell. Mag., vol. 6, no. 1, 2011.
65. J. Schank, M. Mattock, G. Sumner, I. Greenberg, and J. Rothenberg, "A review of strategic mobility models and analysis," RAND Corp., Tech. Rep., 1991.
66. R. Abielmona, E. Petriu, M. Harb, and S. Wesolkowski, "Mission-driven robotic intelligent sensor agents for territorial security," IEEE Comput. Intell. Mag., vol. 6, no. 1, 2011.
67. Q. Zeng and Z. Yang, "Integrating simulation and optimization to schedule loading operations in container terminals," Comput. Oper. Res., vol. 36, no. 6, 2009.
68. I. Sabuncuoglu and E. Tekin, "Simulation optimization: A comprehensive review on theory and applications," IIE Trans., vol. 36, 2004.
69. K. Shafi, A. Bender, and H. A. Abbass. (2011). Fleet estimation for defence logistics using a multi-objective learning classifier system. In Proc. 13th Annu. Conf. Genetic and Evolutionary Computation (GECCO '11). New York: ACM. [Online]. pp. 1195-1202. Available: http://doi.acm.org/10.1145/2001576. 2001738
70. J. Sacks, W. J. Welch, T. J. Mitchell, and H. P. Wynn, "Design and analysis of computer experiments," Statist. Sci., vol. 4, no. 4, 1989.
71. D. Wojtaszek and S. Wesolkowski, "Multi-objective evolutionary optimization of a military air transportation f leet mix with the f lexibility objective," in Proc. IEEE CISDA, Paris, France, 2011.
72. M. Mazurek and S. Wesolkowski, "Minimizing risk on a f leet mix problem with a multiobjective evolutionary algorithm," in Proc. IEEE Symp. Computational Intelligence for Security and Defence Applications, Ottawa, Canada, 2009.
73. R. M. Fujimoto, "Parallel simulation: parallel and distributed simulation systems," in Proc. Winter Simulation Conf., 2001.
74. A. F. Karr, "Lanchester attrition processes and theater-level combat models," Inst. Defense Analyses, Arlington, VA, Program Analysis Div. Final report, 1981.
75. P. Bonissone, R. Subbu, and J. Lizzi, "Multi criteria decision making (MCDM): A framework for research and applications," IEEE Comput. Intell. Mag., vol. 4, no. 3, pp. 48-61, 2009.