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Engine calibration: multi-objective constrained optimization of engine maps
Springer Science and Business Media LLC - Tập 12 - Trang 407-424 - 2011
We present two new approaches to address the optimization problem associated with engine calibration. In this area, the tuning parameters are traditionally determined in a local way, i.e., at each engine operating point, via a single-objective minimization problem. To overcome these restrictions, the first method we propose is able to cope with several objective functions simultaneously in the loc...... hiện toàn bộ
Improvement of the Nelder-Mead method using Direct Inversion in Iterative Subspace
Springer Science and Business Media LLC - Tập 23 - Trang 1033-1055 - 2021
The Nelder-Mead (NM) method is a popular derivative-free optimization algorithm owing to its fast convergence and robustness. However, it is known that the method often fails to converge or costs a long time for a large-scale optimization. In the present study, the NM method has been improved using direct inversion in iterative subspace (DIIS). DIIS is a technique to accelerate an optimization met...... hiện toàn bộ
Solution of a Well-Field Design Problem with Implicit Filtering
Springer Science and Business Media LLC - Tập 5 - Trang 207-234 - 2004
Problems involving the management of groundwater resources occur routinely, and management decisions based upon optimization approaches offer the potential to save substantial amounts of money. However, this class of application is notoriously difficult to solve due to non-convex objective functions with multiple local minima and both nonlinear models and nonlinear constraints. We solve a subset o...... hiện toàn bộ
Accounting for non-normal distribution of input variables and their correlations in robust optimization
Springer Science and Business Media LLC - Tập 23 - Trang 1803-1829 - 2021
In this work, metamodel-based robust optimization is performed using measured scatter of noise variables. Principal component analysis is used to describe the input noise using linearly uncorrelated principal components. Some of these principal components follow a normal probability distribution, others however deviate from a normal probability distribution. In that case, for more accurate descrip...... hiện toàn bộ
On maximizing probabilities for over-performing a target for Markov decision processes
Springer Science and Business Media LLC - - Trang 1-29 - 2023
This paper studies the dual relation between risk-sensitive control and large deviation control of maximizing the probability for out-performing a target for Markov Decision Processes. To derive the desired duality, we apply a non-linear extension of the Krein-Rutman Theorem to characterize the optimal risk-sensitive value and prove that an optimal policy exists which is stationary and determinist...... hiện toàn bộ
Non-linear game models for large-scale network bandwidth management
Springer Science and Business Media LLC - Tập 7 - Trang 421-444 - 2006
The design of dynamic Label-Switched Paths (LSP’s) in MultiProtocol Label Switched (MPLS) networks is an NP-hard optimization problem. An LSP is a logical path between two nodes in the network. This path has a pre-reserved amount of bandwidth that defines its size. The LSP design problem consists of determining the number of these logical links and configuring the physical path and the size of eac...... hiện toàn bộ
An adaptive direct multisearch method for black-box multi-objective optimization
Springer Science and Business Media LLC - Tập 23 - Trang 1411-1437 - 2021
At present, black-box and simulation-based optimization problems with multiple objective functions are becoming increasingly common in the engineering context. In many cases, the functional relationships that define the objective and constraints are only known as black-boxes, cannot be differentiated accurately, and may be subject to unexpected failures. Directional direct search techniques, in pa...... hiện toàn bộ
Parallel Line Search in Method of Feasible Directions
Springer Science and Business Media LLC - Tập 5 - Trang 379-388 - 2004
In this paper the line search procedure within the method of feasible directions is parallelized and used in the solution of constrained structural optimization problems. As the objective function is linear in the variables, the step size problem reduces to a zero finding problem. That is, the step size is the distance along the direction vector to the nearest constraint boundary. Zero finding is ...... hiện toàn bộ
Decoupled approach to multidisciplinary design optimization under uncertainty
Springer Science and Business Media LLC - - 2007
We propose solution methods for multidisciplinary design optimization (MDO) under uncertainty. This is a class of stochastic optimization problems that engineers are often faced with in a realistic design process of complex systems. Our approach integrates solution methods for reliability-based design optimization (RBDO) with solution methods for deterministic MDO problems. The integration is ena...... hiện toàn bộ
Filter allocation and replacement strategies in fluid power system under uncertainty: a fuzzy robust nonlinear programming approach
Springer Science and Business Media LLC - Tập 13 - Trang 319-347 - 2011
A fuzzy robust nonlinear programming model is developed for the assessment of filter allocation and replacement strategies in hydraulic systems under uncertainty. It integrates the methods of fuzzy mathematic programming (FMP) and robust programming (RP) within the mixed integer nonlinear programming framework, and can facilitate dynamic analysis and optimization of filters allocation and replacem...... hiện toàn bộ
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