• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (1): 137-141.

• 论文 • Previous Articles     Next Articles

An improved collaborative optimization algorithm and its application

LI Dongqin1,2,YANG Yongxiang1,CHEN Zhitong2   

  1. (1.School of Naval Architecture & Ocean Engineering,
    Jiangsu University of Science and Technology,Zhenjiang 212003;
    2.Jiangsu Modern Shipbuilding Technology,LTD.,Zhenjiang 212003,China )
  • Received:2011-08-15 Revised:2011-11-20 Online:2013-01-25 Published:2013-01-25

Abstract:

Aiming at the convergence difficulties and low optimization efficiency of Collaborative Optimization (CO), an improved collaborative optimization algorithm (ICO) is proposed in this paper. By introducing the adaptive relaxation factor to let the restriction of consistency equality be transformed to the restriction of nonequality as well as by constructing the mixed penalty function to convert the systemlevel constraint optimization problem into unconstraint optimization problem, the improved algorithm can overcome the disadvantages of convergence difficulties of traditional collaborative optimization. Experimental results show that the stability, reliability and computing efficiency of ICO are better than CO, and lay a foundation for solving more complex engineering system.

Key words: multidisciplinary design optimization;collaborative optimization;offshore supply vessel