Opposition-based cooperative (revolutionary differential evolution algorithm with gaussian mutation for simplified satellite module optimization

Information Technology Journal

Volumn 11, Issue 1, 2012, Pages 67-75

  Wang, Yuan Hui ^a   Wang, Xiu Kun ^a   Teng, Hong Fei ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Coevolution; Differential evolution; Gaussian mutation; Layout Design; Opposition based learning; Optimization; Subpopulation

Indexed keywords

CO-EVOLUTION; DIFFERENTIAL EVOLUTION; GAUSSIAN MUTATION; LAYOUT DESIGNS; OPPOSITION-BASED LEARNING; SUBPOPULATION;

COMPUTATIONAL COMPLEXITY; COMPUTATIONAL EFFICIENCY; CONVERGENCE OF NUMERICAL METHODS; GAUSSIAN DISTRIBUTION; OPTIMIZATION; PROBLEM SOLVING; SATELLITES;

EVOLUTIONARY ALGORITHMS;

EID: 84862913281     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2012.67.75     Document Type: Article

References (28)

1. Abbaspour, R.A. and F. Samadzadegan, 2009. Optimum crop planning using multi-objective differential evolution algorithm. J. Applied Sci., 9: 3804-3812.
2. Adeyemo, J.A. andF.A.O. Otieno, 2009. Multi-objective differential evolution algorithm for solving engineering problems. J. Applied Sci., 9: 3652-3661.
3. Aladahalli, C, J. CaganandK. Shimada, 2007. Objective function effect based pattern search-theoretical framework inspired by 3D component layout. J. Mech. Design, 129: 243-254. (Pubitemid 46736231)
4. Ataei, A., M.H. Panjeshahi and M. Gharaie, 2009. A new algorithm for optimum design of mechanical draft wet cooling towers. J. Applied Sci., 9: 561-566.
5. Braun, R.D., I.M. Kroo and A.A. Moore, 1997. Collaborative approach to launch vehicle design. J. Spacecr Rockets, 34: 478-486. (Pubitemid 127579024)
6. Cagan, J., D. Degentesh and S. Yin, 1998. A simulated annealing-based algorithm using hierarchical models for general three-dimensional component layout. Comput. Aided Design, 30: 781-790. (Pubitemid 128636674)
7. Chen, W., Y.J. Shi and H.F. Teng, 2008. An improved differential evolution with local search for constrained layout optimization of satellite module. Adv. Intel. Comput. Theor. Appl. Aspects Artificial Intel., 5227: 742-749.
8. Gngnon, P.M. and G.M. Fadel, 2004. A GA based configuration design optimization method. J. Mech. Design, 126: 6-15.
9. Huang, W. and M. Chen, 2006. Note on: An improved algorithm for the packing of unequal circles within a larger containing circle. Comput. Ind. Eng., 50: 338-344. (Pubitemid 44278432)
10. Huo, J.Z., G.Q. Li, H.F. Teng and Z.G. Sun, 2005. Human-computer cooperative ant colony/genetic algorithm for satellite module layout design. Chinese J. Mech. Eng., 41: 112-116.
11. Jansen, T. and R.P. Wiegand, 2004. The cooperative coevolutionary(l+l)EA. Evol. Comput, 12: 405-434.
12. Liu, Y. and S. Li, 2011. A new differential evolutionary algorithm with neighborhood search. Inform. Technol. J., 10: 573-578.
13. Liu, Z.C., X.F. Lin, Y.J. Shi andH.F. Teng, 2011. A micro genetic algorithm with cauchy mutation for mechanical optimization design problems. Inform. Technol. J., 10: 1824-1829.
14. Ning, L., L. Fei, S. Debao and H. Chang, 2004. Particle swarm optimization for constrained layout optimization. Fifth World Congr. Intel. Control Automation, 3: 2214-2218.
15. Otieno, F.A.O. and J.A. Adeyemo, 2010. Strategies of differential evolution for optimum cropping pattern. Trends Applied Sci. Res., 5: 1-15.
16. Peng, L. and Y. Wang, 2010. Differential evolution using uniform-quasi-opposition for initializing the population. Inform. Technol. J., 9: 1629-1634.
17. Potter, M.A. and K.A.D. Jong, 1994. A cooperative coevolutionary approach to function optimization. Parallel Problem Solving Nat. Ill, 866: 249-257.
18. Rahnamayan, S., H.R Tizhoosh andM.M.A. Salama, 2006. Opposition-based differential evolution algorithms. Proceeding of the IEEE Congress on Evolutionary Computation, July 16-21, 2006, Vancourver, Canada, pp: 2010-2017. (Pubitemid 47130743)
19. Shi, Y., H. Teng and Z. Li, 2005. Cooperative co-evolutionary differential evolution for function optimization. Lecture Notes Comuput. Sci., 3611: 1080-1088. (Pubitemid 41449864)
20. Shi, Y.J. 2005. The cooperative co-evolutionary differential evolution and its application for complex layout optimization. Dalian University of Technology, Dalian, China.
21. Soltani, M.A., A. Karimi, M.R. Bazargan-Lari and E. Shirangi, 2008. Stochastic multi-purpose reservoir operation planning by scenario optimization and differential evolutionary algorithm. J. Applied Sci., 8: 4186-4191.
22. Storn, R. and K. Price, 1997. Differential evolution-A simple and efficient adaptive scheme for global optimization over continuous spaces. J. Global Optimization, 11: 341-359. (Pubitemid 127502202)
23. Teng, H.F., S.L. Sun, D.Q. Liu and Y.Z. Li, 2001. Layout optimization for the objects located within a rotating vessel-a three-dimensional packing problem with behavioral constraints. Comput. Operat. Res., 28: 521-535.
24. Tizhoosh, H., 2005. Opposition-based learning: A new scheme for machine intelligence. Proc. Int. Conf. Comput. Intel. Modeling Control Autom, I: 695-701.
25. Wang, L.J., X.L. Sun and Z.K. Shi, 2009a. New evolutionary algorithm applying to a type of facility location problem. Inform. Technol. J., 8: 605-609.
26. Wang, Y.S., H.F. Teng and Y.J. Shi, 2009b. Cooperative co-evolutionary scatter search for satellite module layout design. Eng. Comput., 26: 761-785.
27. Xiao, R.B., Y.C. Xu and M. Amos, 2007. Two hybrid compaction algorithms for the layout optimization problem. BioSystems, 90: 560-567. (Pubitemid 47362470)
28. Zhang, B., H.F. Teng and Y.J. Shi, 2008. Layout optimization of satellite module using soft computing techniques. Applied Soft Comput, 8: 507-521. (Pubitemid 47374583)