Harmony search applications in mechanical, chemical and electrical engineering

Studies in Computational Intelligence

Volumn 191, Issue , 2009, Pages 71-86

  Fesanghary, Mohammad ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Economic dispatch; Harmony search; Heat exchanger design; Machining process

Indexed keywords

EID: 62549150908     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-00185-7_5     Document Type: Article

References (58)

1. Wikipedia, Shell and tube heat exchanger (2005) (accessed October 25, 2008), http://en.wikipedia.org/wiki/Shell_and_tube_heat_exchanger
2. Özçelik, Y.: Exergetic optimization of shell and tube heat exchangers using a genetic based algorithm. Appl. Therm. Eng. 27, 1849-1856 (2007)
3. Sun, S.-y., Lu, Y.-d., Yan, C.-q.: Optimization in calculation of shell-tube heat exchanger. Int. Comm. Heat Mass Transfer 20, 675-685 (1993)
4. Lerou, P.P.P.M., Veenstra, T.T., Burger, et al.: Optimization of counterflow heat exchanger geometry through minimization of entropy generation. Cryogenics 45, 659-669 (2005)
5. Taborek, J.: Shell and tubS heat exchangers: single phase flow, Heat Exchanger Design Handbook. Hemisphere, New York (1982)
6. Saunders, E.A.D.: Heat exchangers - selection, design, construction. Longman scientific and technical, New York (1988)
7. Hewitt, G.F., Shires, G.L., Bott, T.R.: Process heat transfer. CRC Press, Boca Raton (1994)
8. Fesanghary, M., Damangir, E., Soleimani, I.: Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm. Appl Therm. Eng. (2008), doi:10.1016/ j.applthermaleng.2008.05.018
9. Perry, R.J., Chilton, C.H.: Chemical Engineers Handbook. McGraw-Hill, New York (1973)
10. Reppich, M., Kohoutek, J.: Optimal design of shell-and-tube heat exchangers. Computers Chem. Engng. 18, 295-299 (1994)
11. Zalewski, W., Niezgoda-Zelasko, B., Litwin, M.: Optimization of evaporative fluid coolers. International Journal of Refrigeration 23, 553-565 (2000)
12. Gonzalez, M.T., Petrcci, N.C., Urbicain, M.J.: Air-cooled heat exchanger design using successive quadratic programming (SQP). Heat Transfer Engineering 22, 11-16 (2001)
13. Saffar-Avval, M., Damangir, E.: A general correlation for determining optimum baffle spacing for all types of shell and tube exchangers. Int. J. Heat Mass Transfer 38, 2501-2506 (1995)
14. Soltan, B.K., Saffar-Avval, M., Damangir, E.: Minimizing capital and operating costs of shell and tube condensers using optimum baffle spacing. Appl. Thermal Eng. 24, 2801-2810 (2004)
15. Fesanghary, M., Mahdavi, M., Minary, M., Alizadeh, Y.: Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Comput. Methods Appl. Mech. Engrg. 197, 3080-3091 (2008)
16. Chaudhuri, P.D., Diwekar, U.M., Logsdon, J.S.: An automated approach for the optimal design of heat exchangers. Ind. Eng. Chem. Res. 36, 3685-3693 (1997)
17. Selbaş, R., Kizilkan, O., Reppich, M.: A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view. Chemical Engineering and Processing 45, 268-275 (2006)
18. Ozkol, I., Komurgoz, G.: Determination of the optimum geometry of the heat exchanger body via a genetic algorithm. Numerical Heat Transfer, Part A 48, 283-296 (2005)
19. Gholap, A.K., Khan, J.A.: Design and multi-objective optimization of heat exchangers for refrigerators. Applied Energy 84, 1226-1239 (2007)
20. Allen, B., Gosselin, L.: Optimal geometry and flow arrangement for minimizing the cost of shell-and-tube condensers. Int. J. Energy Res. (2008), doi:10.1002/er.1398
21. Wildi-Tremblay, P., Gosselin, L.: Minimizing shell-and-tube heat exchanger cost with genetic algorithms and considering maintenance. Int. J. Energy Res. 31, 867-885 (2007)
22. Agarwal, A., Gupta, S.K.: Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers. Chemical Engineering Research and Design 86, 123-139 (2008)
23. Doodman, A., Fesanghary, M., Hosseini, R.: A robust stochastic approach for design optimization of air cooled heat exchangers. Applied Energy (2008), doi:10.1016/j.apenergy.2008.08.021
24. Wikipedia, heat pipe (2004) (accessed October 25, 2008), http://en.wikipedia.org/wiki/Heat_pipe
25. What is a Heat Pipe? (2008) (accessed October 25, 2008), http://www.cheresources.com/htpipes.shtml
26. Geem, Z.W., Hwangbo, H.: Application of harmony search to multi-objective optimization for satellite heat pipe design. In: Proceedings of the US-Korea Conference on Science, Technology, and Entrepreneurship (UKC 2006), CD-ROM (2006)
27. Rajesh, V.G., Ravindran, K.P.: Optimum heat pipe design: A nonlinear programming approach. International Communications in Heat and Mass Transfer 24, 371-380 (1997)
28. Wikipedia, economic dispatch (2005) (accessed October 25, 2008), http://en.wikipedia.org/wiki/Economic_dispatch
29. Lin, C.E., Chen, S.T., Huang, C.L.: A direct Newton-Raphson economic dispatch. IEEE Trans. Power Syst. 7, 1149-1154 (1992)
30. Lin, C.E., Viviani, G.L.: Hierarchical economic dispatch for piecewise quadratic cost functions. IEEE Trans. Power App. Syst. 103, 1170-1175 (1984)
31. Wood, A.J., Wollenberg, B.F.: Power generation, operation and control. Wiley, New York (1994)
32. Yang, H.T., Chen, S.L.: Incorporating a multi-criteria decision procedure into the combined dynamic programming/production simulation algorithm for generation expansion planning. IEEE Trans. Power Syst. 4, 165-175 (1989)
33. Granville, S.: Optimal reactive dispatch through interior point methods. IEEE Trans. Power Syst. 9, 136-146 (1994)
34. Chen, C.L., Wang, S.C.: Branch-and-bound scheduling for thermal generating units. IEEE Trans. Energy Convers. 8, 184-189 (1993)
35. Liang, Z.X., Glover, J.D.: A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Trans. Power Syst. 7, 544-550 (1992)
36. Papageorgiou, L.G., Fraga, E.S.: A mixed integer quadratic programming formulation for the economic dispatch of generators with operating zones. Electric Power Syst. Res. 77, 1292-1296 (2007)
37. Kuo, C.C.: A novel string structure for economic dispatch problems with practical constraints. Energy Convers. Manage (2008), doi:10.1016/ j.enconman.2008.07.007
38. Li, F.: A comparison of genetic algorithms with conventional techniques on a spectrum of power economic dispatch problems. Expert Syst. Appl. 15, 133-142 (1998)
39. Baskar, S., Subbaraj, P., Rao, M.V.C.: Hybrid real coded genetic algorithm solution to economic dispatch problem. Comput. Electr. Eng. 29, 407-419 (2003)
40. Lin, W.M., Cheng, F.S., Tsay, M.T.: An improved tabu search for economic dispatch with multiple minima. IEEE Trans. Power Syst. 17, 108-112 (2002)
41. Basu, M.: A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems. Int. J. Electron Power Energy Syst. 27, 147-153 (2005)
42. Song, Y.H., Chou, C.S.V., Min, Y.: Large-scale economic dispatch by artificial ant colony search algorithms. Electr. Mach. Power Syst. 27(7), 679-690 (1999)
43. Somasundaram, P., Kuppusamy, K., Kumudini Devi, R.P.: Economic dispatch with prohibited operating zones using fast computation evolutionary programming algorithm. Electr. Power Syst. Res. 70, 245-252 (2004)
44. Gaing, Z.L.: Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. Power Syst. 18, 1187-1195 (2003)
45. Selvakumar, A.I., Thanushkodi, K.: Anti-predatory particle swarm optimization: Solution to nonconvex economic dispatch problems. Electr. Power Syst. Res. 78, 2-10 (2008)
46. Yuan, X., Su, A., Yuan, Y., et al.: An improved PSO for dynamic load dispatch of generators with valve-point effects. Energy (2008), doi:10.1016/j.energy.2008.09.010
47. Guo, T., Henwood, M.I., van Ooijen, M.: An algorithm for combined heat and power economic dispatch. IEEE Trans. Power Syst. 11, 1778-1784 (1996)
48. Song, Y.H., Xuan, Q.Y.: Combined heat and power economic dispatch using genetic algorithm based penalty function method. Electric Mach. Power Syst. 26, 363-372 (1998)
49. Song, Y.H., Chou, C.S., Stonham, T.J.: Combined heat and power economic dispatch by improved ant colony search algorithm. Electric Power Systems Research 52, 115-121 (1999)
50. Sudhakaran, M., Slochanal, S.M.R.: Integrating genetic algorithms and tabu search for combined heat and power economic dispatch. Power System Stability and Control 1, 67-71 (2003)
51. Su, C.T., Chiang, C.L.: An incorporated algorithm for combined heat and power economic dispatch. Electric Power Systems Research 69, 187-195 (2004)
52. Groover, M.P.: Fundamentals of Modern Manufacturing. Wiley, New York (2000)
53. Tolouei-Rad, M., Bidhendi, I.M.: On the optimization of machining parameters for milling operations. Int. J. Mach. Tools Manuf. 37, 1-16 (1997)
54. Sonmez, A.I., Baykasoglu, A., Dereli, T., et al.: Dynamic optimization of multipass milling operations via geometric programming. Int. J. Mach. Tools Manuf. 39, 297-320 (1999)
55. Jha, N.K.: A discrete data base multiple objective optimization of milling operation through geometric programming. Trans. ASME J. Eng. Ind. 112, 368-374 (1990)
56. Shunmugam, M.S., Bhaskara, R.S.V., Narendran, T.T.: Selection of optimal conditions in multi-pass face-milling using a genetic algorithm. Int. J. Mach. Tools Manuf. 40, 401-414 (2000)
57. Wang, Z.G., Rahman, M., Wong, Y.S., et al.: Optimization of multi-pass milling using genetic algorithm and genetic simulated annealing. Int. J. Mach. Tools Manuf. 45, 1726-1734 (2005)
58. Zarei, O., Fesanghary, M., Farshi, B., et al.: Optimization of multi-pass face-milling via harmony search algorithm. Journal of Materials Processing Technology (2008), doi:10.1016/ j.jmatprotec.2008.05.029