物理规划方法及其在飞机方案设计中的应用

 物理规划方法是一种高效的设计优化方法,它与设计者的工程经验紧密联系,能以较低的计算代价获得真实反映设计者偏好的折衷解,对解决多目标优化设计问题具有重要意义。将物理规划设计方法与稳定、高效的粒子群优化算法相结合,有效地求解多目标优化问题中的折衷非劣解。通过求解数值算例和民用飞机方案设计问题,验证了该方法的有效性。

Physical Programming and Its Application in Aircraft Concept Design

Physical programming is an effective method for design optimization. It provides a flexible and natural design framework and the computational cost is reduced significantly. Compared with the conventional weight-based approach for multi-object optimization, Physical Programming is associated with the engineering experiences of designers and the tradeoff solution is obtained which can express designers' preferences correctly. It is of significance to use Physical Programming in multi-object optimization. When Physical Programming method is combined with robust and effective Particle Swarm Optimization Algorithms, the tradeoff Pareto solution of multi-object optimization can be evaluated effectively. Physical Programming method reveals its efficiency in a mathematical paradigm and an aircraft concept design problem.