一种改进的多学科协同优化算法及其应用

多学科优化设计（MDO）是当前复杂系统工程设计中研究最活跃的领域。分析了传统多学科协同优化算法解决实际复杂MDO问题计算困难的原因,提出了一种符合工程实际的改进的协同优化算法（NCO）。NCO通过改变协同优化系统级表达形式解决传统协同优化计算成本大、收敛困难等缺陷。通过两个经典MDO测试算例与Alexandrov提出的改进松弛协同优化比较,优化结果表明,NCO能有效提高收敛速率,保证收敛结果的稳定性和可靠性,能更好地满足复杂系统工程优化需要。

An Improved Collaborative Optimization Algorithm

MDO（multidisciplinary design optimization）is the most active research areas in the current complex system engineering.Reasons of the defects of traditional collaborative optimization to solve the complex multidisciplinary were analyzed and a new collaborative optimization was proposed.By changing the forms of expression in traditional collaborative optimization,computationally expensive and convergence difficulties can be resolved.Two classic examples were adopted to test the new collaborative optimization.Results shows that the new collaborative optimization can effectively improve the rate of convergence,the stability and reliability of the optimization results.Meanwhile,the presented method is better to meet the needs of the complex system engineering.