a robust and efficient hybrid algorithm for global optimization

2009 IEEE International Advance Computing Conference, IACC 2009

Volumn , Issue , 2009, Pages 486-491

  Geethaikrishnan, C ^a   Mujumdar, P M ^b   Sudhakar, K ^b   Adimurthy, V ^a  

^a INDIAN SPACE RESEARCH ORGANISATION   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX SYSTEM DESIGN; DESIGN CODES; DESIGN PROBLEMS; DESIGN SPACES; DESIGN VARIABLES; EFFECTIVE SOLUTION; GLOBAL OPTIMUM; GRADIENT SEARCH; GRADIENT SEARCH METHOD; HYBRID ALGORITHMS; HYBRID APPROACH; INITIAL GUESS; INTEGRATED FRAMEWORKS; ITERATIVE PROCEDURES; LOCAL OPTIMA; MULTIDISCIPLINARY DESIGN OPTIMIZATION; OPTIMIZING ALGORITHM; ROBUST OPTIMIZATION ALGORITHM;

COMBINATORIAL OPTIMIZATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MULTI AGENT SYSTEMS; THREE TERM CONTROL SYSTEMS;

DESIGN;

EID: 66349107388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2009.4809059     Document Type: Conference Paper

References (14)

1. Acton, A.E. and Olds, J.R.,"Computational frameworks for collaborative multidisciplinary design of complex systems",AIAA-98-4942.
2. Deb, K. An efficient constraint handling method for genetic algorithm s". Computer methods in applied Mechanics and Engineering 186 (2-4), pp331-338,2000.
3. Deb, K. Multi-objective optimization using evolutionary algorithms. 1!t ed.(John Wiley & Sons, Ltd.), 2003.
4. Emmerich, MTM: Single and Multi-objective Design Optimisation assisted by Gaussian Random Field Metamodels, Dissertation for Doctoral Degree in Natural Sciences, University of Dortmund, Dortmund, 2005.
5. Geethaikrishnan. C, Mujumdar. P. M., Sudhakar. K and Adimurthy. V, Hybrid Algorithm for Launch Vehicle Trajectory Optimization in Multidisciplinary Design Framework", Symposium on Applied Aerodynamics and Design of Aerospace Vehicle (SAROD-2007), November 22-23, 2007, Thiruvananthapuram, India
6. Hacker K., Eddy.J. and Lewis K., Efficient Global Optimization using Hybrid Genetic Algorithms AIAA 2002-5429, AIAA/ISSMO symposium on Multidisciplinary Analysis and Optimization, 4-6 September 2002, Atlanta, Georgia
7. Hajela, P., Nongradient Methods in Multidisciplinary Design Optimization - Status and Potential", Journal of Aircraft, Vol.36, No.l, January-February, 1999.
8. Keane, A: Experiences with optimizers in structural design," in Parmee, IC (ed) Proceedings of the 1st Conf. on adaptive Computing in Engineering Design and Control, University of Plymouth, UK, pp. 14-27, 1994..
9. Kim Y. H. and Spencer B.D., Optimal Spacecraft Rendezvous using Genetic Algorithms Journal of Spacecraft and Rockets, Vol.39, No. 6, pp859-865, Nov.-December, 2002.
10. Mishra, S.K., Minimization of Keane's Bump Function by the Repulsive particle Swarm and the Differential Evolution Methods", MPRA paper NO. 3098, Munich Personal RePEc Archive, 2nd May, 2007.
11. Nobuhiro Yakoyama and Shinji Suzuki, Modified Genetic Algorithm for constrained Trajectory optimization", Journal of Guidance, Control and Dynamics, Vol.28, No.l, 2005
12. Lobo, F.G., and Lima, C.F., A review of adaptive population sizing schemes in Genetic Algorithms", GECCO'05, June 25-29, 2005, Washington, DC, USA.
13. Luo,Y.Z.,Li,H.Z., and Tang G.J., Hybrid approach to optimize a rendezvous Phasing Strategy Journal of Guidance, Control and Dynamics, Vol 30, No.l, Jan-Feb, 2007.
14. Vicini.A. and Quagliarella., Airfoil and wing design through hybrid Optimizations Strategies", AIAA-98-2729.