Use of predictor corrector methods for multi-objective optimization of dynamic systems

Keßler, Tobias; Logist, Filip; Mangold, Michael

doi:10.1016/b978-0-444-63428-3.50057-6

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…In the case of complex scalarized optimization problems, the homogeneity often depends on the ability to find a Pareto front's non-convex regions. This is because step-wise solution of an optimization problem using the weighted sum method can only specify the convex hull of the Pareto front [22]. In addition, the convex hull obtained will not be sufficiently homogeneous if the value ranges of the optimization objectives differ significantly from each other.…”

Section: Optimization Processmentioning

confidence: 99%

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

et al. 2021

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This article presents a new holistic multi-objective design approach for the optimization of Arctic Offshore Supply Vessels (OSVs) for cost- and eco-efficiency. The approach is intended to be used in the conceptual design phase of an Arctic OSV. It includes (a) a parametric design model of an Arctic OSV, (b) performance assessment models for independently operating and icebreaker-assisted Arctic OSVs, and (c) a novel adaptation of the Artificial Bee Colony (ABC) algorithm for multi-objective optimization of Arctic OSVs. To demonstrate the feasibility and viability of the proposed optimization approach, a series of case studies covering a wide range of operating scenarios are carried out. The results of the case studies indicate that the consideration of icebreaker assistance significantly extends the feasible design space of Arctic OSVs, enabling solutions with improved energy- and cost-efficiency. The results further indicate that the optimal amount of icebreaking assistance and optimal vessel speed differs for different vessels, highlighting the motivation for holistic design optimization. The applied adaptation of the ABC algorithm proved to be well suited and efficient for the multi-objective optimization problem considered.

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Section: Optimization Processmentioning

confidence: 99%

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

et al. 2021

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“…DOMP achieves the fastest pruning, reaching its best linearization performance in just the first iterations. Regarding the NMSE tolerance, the Pareto front-defined here as the values with lowest tolerance for each number of coefficients [32]-is conformed by the DOMP for μ < −1 and by PCA for a number of coefficients greater than 50.…”

Section: A Dpd Of a Commercial Pamentioning

confidence: 99%

Comparative Analysis of Greedy Pursuits for the Order Reduction of Wideband Digital Predistorters

Becerra

Madero‐Ayora

Crespo‐Cadenas

2019

IEEE Trans. Microwave Theory Techn.

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This paper provides a review of greedy pursuits for optimizing Volterra-based behavioral models structure and estimating its parameters. An experimental comparison of the digital predistortion (DPD) linearization performance achieved by these approaches for model-order reduction, such as compressive sampling matching pursuit (CoSaMP), subspace pursuit (SP), orthogonal matching pursuit (OMP), and the novel doubly OMP (DOMP), is presented. A benchmark of the techniques in the DPD of a commercial class AB power amplifier (PA) and a class J PA operating over a 15-MHz Long-Term Evolution (LTE) signal is presented, giving a clear overview of their pruning characteristics in terms of linearization indicators and regressor selection capabilities. In addition, the benchmark is run in a cross-validation scheme by identifying the DPD with a 30-MHz 5G-new radio (NR) signal and validating with the same signal and a 20-MHz multicarrier wideband code division multiple access (WCDMA) signal. The DOMP is shown to be a promising technique since it achieves an enhanced model-order reduction for a similar linearization performance and precision.

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“…The region in the space of the values of all objectives defined by all Pareto Set points is called Pareto Front (Keßler et al, 2016). To obtain the Pareto Set, or the discrete approximation of Pareto Front, the objective functions are normally sampled using different values of the independent optimisation variables.…”

Section: Introductionmentioning

confidence: 99%

Optimal emergency shutdown valve configuration for pressurised pipelines

Mahgerefteh

2022

Process Safety and Environmental Protection

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Pressurised pipelines are the primary mode of choice for transporting large quantities of hazardous fluids across the globe. The failure of such pipelines can lead to the release of significant amounts of flammable or toxic inventories, which may in turn present significant risks to life, environment and property. In order to mitigate such risks, various types of emergency shutdown valves (ESDVs), including Check Valves (CVs), Automatic Shut-off Valves (ASVs) and Remote Control Valves (RCVs), are installed along such pipelines as the front-line emergency mitigation tool.Accounting for the critically important ensuing in-pipe transient fluid flow, this thesis presents the development and application of a multi-objective optimisation study for selecting the ESDV type, number and spacing as well as its combinations and operational settings for striking a balance between the minimum valve capital cost against the efficacy in minimising and ultimately isolating outflow following pipeline failures.To my parents and brother: Thank you for your never-ending support and motivation.

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Use of predictor corrector methods for multi-objective optimization of dynamic systems

Cited by 6 publications

References 10 publications

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

Comparative Analysis of Greedy Pursuits for the Order Reduction of Wideband Digital Predistorters

Optimal emergency shutdown valve configuration for pressurised pipelines

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