Results 21 to 30 of about 133,335 (273)
Automatic surrogate model type selection during the optimization of expensive black-box problems [PDF]
, 2011 The use of Surrogate Based Optimization (SBO) has become commonplace for optimizing expensive black-box simulation codes. A popular SBO method is the Efficient Global Optimization (EGO) approach. However, the performance of SBO methods critically depends
Couckuyt, Ivo +3 more
core +1 more source
Zhongguo Jianchuan Yanjiu, 2020 Objectives Aiming at the problem that it is difficult to ensure global approximation accuracy and computational efficiency in the traditional reliability-based design optimization of ship structures, a reliability optimization strategy based on a dynamic
LIU Jing, WANG Deyu
doaj +1 more source
Towards efficient multiobjective optimization: multiobjective statistical criterions [PDF]
, 2012 The use of Surrogate Based Optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo +2 more
core +2 more sources
Surrogate-Based Optimization [PDF]
, 2012 Surrogate-based optimization (Queipo et al. 2005, Simpson et al. 2008) represents a class of optimization methodologies that make use of surrogate modeling techniques to quickly find the local or global optima. It provides us a novel optimization framework in which the conventional optimization algorithms, e.g. gradient-based or evolutionary algorithms
Han, Zhong-Hua, Zhang, Ke-Shi
openaire +2 more sources
Recent advances in surrogate-based optimization [PDF]
Progress in Aerospace Sciences, 2009 Abstract The evaluation of aerospace designs is synonymous with the use of long running and computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization. Recent advances in surrogate-based design methodology bring the promise of efficient global optimization closer ...
Forrester, Alexander I.J. +1 more
openaire +3 more sources
A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
core +1 more source
IEEE Access, 2022 The optimal design of power converters often requires a huge number of simulations and numeric analyses to determine the optimal parameters. This process is time-consuming and results in a high computational cost.
Van-Hai Bui +8 more
doaj +1 more source
Surrogate‐based optimization of a periodic rescheduling algorithm
AIChE Journal, 2022 AbstractPeriodic rescheduling is an iterative method for real‐time decision‐making on industrial process operations. The design of such methods involves high‐level when‐to‐schedule and how‐to‐schedule decisions, the optimal choices of which depend on the operating environment.
Heljanko, Keijo +3 more
openaire +3 more sources
Mathematics, 2022 The optimization method based on the surrogate model has been widely used in the simulation and calculation process of complex engineering models. However, in this process, the low accuracy and computational efficiency of the surrogate model has always ...
Shande Li +4 more
doaj +1 more source
Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization [PDF]
Radioengineering, 2019 This paper presents a very simple surrogate optimization method - a Tolerance-based Surrogate Method. A surrogate optimization in general is essential to more and more frequently used optimization in the development process of new technologies.
M. Marek, P. Kadlec
doaj