Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (4): 869-872.
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XU Wei
Online:
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Abstract:
To improve the reliability of multidisciplinary design optimization (MDO) solving, this paper proposes a new global optimization genetic algorithm called GACOM by combining the genetic algorithm which has good global searching capability and the complex algorithm which has local convergence characteristic. Then this paper establishes double optimization MDF (DO-MDF) and single optimization MDF (SO-MDF) by applying GACOM to the system analysis solution of multidisciplinary feasible (MDF). Finally, by contrasting the optimization result of five calculation frames solving MDO, DO-MDF and SO-MDF have better calculating capability.
XU Wei. Multidisciplinary optimization method based on complex optimization genetic algorithm[J]. Journal of Systems Engineering and Electronics, 2010, 32(4): 869-872.
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