Trust region model management in multidisciplinary design optimization
نویسندگان
چکیده
منابع مشابه
Model-Ensemble Trust-Region Policy Optimization
Model-free reinforcement learning (RL) methods are succeeding in a growing number of tasks, aided by recent advances in deep learning. However, they tend to suffer from high sample complexity which hinders their use in real-world domains. Alternatively, model-based reinforcement learning promises to reduce sample complexity, but tends to require careful tuning and to date have succeeded mainly ...
متن کاملglobal meta-model for system level multidisciplinary design optimization
this paper presents an efficient global meta-model building technique for solving high fidelity multidisciplinary design optimization (mdo) problems. the main difficulties associated with mdo are often characterized by interdisciplinary couplings, high computational cost of an analysis in individual disciplines and a large number of design variables and constraints. these issues result in very ...
متن کاملTrust Region Policy Optimization
We describe an iterative procedure for optimizing policies, with guaranteed monotonic improvement. By making several approximations to the theoretically-justified procedure, we develop a practical algorithm, called Trust Region Policy Optimization (TRPO). This algorithm is similar to natural policy gradient methods and is effective for optimizing large nonlinear policies such as neural networks...
متن کاملMultidisciplinary Design Optimization
Multidisciplinary design optimization (MDO) is a field of engineering that focuses on use of numerical optimization to perform the design of systems that involve a number of disciplines or subsystems. The main motivation for using MDO is that the best design of a multidisciplinary system can only be found when the interactions between the system's disciplines are fully considered. Considering t...
متن کاملGlobal Optimization Algorithms in Multidisciplinary Design Optimization
While Multidisciplinay Design Optimization (MDO) literature focuses mainly on the development of different formulations, through the manipulation of design variables, less attention is generally devoted to the combination of specific MDO formulations with existing nonlinear optimization algorithms. In this paper, the focus is on the application of a Global Optimization (GO) algorithm to an MDO ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 2000
ISSN: 0377-0427
DOI: 10.1016/s0377-0427(00)00424-6