A Metamodel-based Optimization Method for Mobile Ad Hoc Networks
To address the dilemma between the accuracy of simulation-model and runtime efficiency which take place in the simulation-based optimization of mobile ad hoc networks, the metamodel-based optimization methodology is investigated to optimize the performance of networks. Hybrid optimization strategy is proposed in detail, which integrated Kriging metamodel, evolution algorithm and trust region algorithm. With this optimization strategy, a nonlinear parameter settings optimization problem is resolved. The results show, the proposed metamodel-based optimization strategy can improve the efficiency of computation-intensive process, it can be successfully applied to the domain of complex systems such as mobile ad hoc networks, facilitating system modeling, analysis and optimization.
metamodel-based optimization kriging evolution algorithm trust-region algorithm
Chen Ling Liang Jia-hong Wu Bing Hu Zhi-wei
School of Mechatronics Engineering and Automation National University of Defense Technology Changsha, China
国际会议
太原
英文
412-416
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）