Results 41 to 50 of about 2,755,850 (188)
A modified migration model biogeography evolutionary approach for electromagnetic device multiobjective optimization [PDF]
, 2014 Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electromagnetic devices.Therecentlydeveloped biogeography-based optimization (BBO) is modified byadapting its migration model function so as to improve its ...
Dupré, Luc +2 more
core
Inverse Optimization: Closed-form Solutions, Geometry and Goodness of fit
, 2017 In classical inverse linear optimization, one assumes a given solution is a candidate to be optimal. Real data is imperfect and noisy, so there is no guarantee this assumption is satisfied.
Chan, Timothy C. Y. +2 more
core +1 more source
LLM-based Maritime Training Feedback System: Implementing RAG-Enhanced Assessment Analysis with STCW Compliance [PDF]
TransNavThis paper presents the implementation and evaluation of a Retrieval-Augmented Generation (RAG) system designed to provide automatic STCW- compliant feedback on maritime assessment questions.
Simon Baradziej
doaj +1 more source
Robust Model Predictive Control via Scenario Optimization
, 2012 This paper discusses a novel probabilistic approach for the design of robust model predictive control (MPC) laws for discrete-time linear systems affected by parametric uncertainty and additive disturbances.
Calafiore, Giuseppe C., Fagiano, Lorenzo
core +1 more source
MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects
MachinesThe existing detection algorithms are unable to achieve a suitable balance between detection accuracy and inference speed. As the accuracy of the algorithm increases, its complexity also rises, resulting in a decrease in detection speed, which undermines
Shuxian Zhu, Yajie Zhou
doaj +1 more source
Optimal designs for copula models [PDF]
Statistics, 2016 Copula modelling has in the past decade become a standard tool in many areas of applied statistics. However, a largely neglected aspect concerns the design of related experiments. Particularly the issue of whether the estimation of copula parameters can be enhanced by optimizing experimental conditions and how robust all the parameter estimates for the
Perrone, Elisa, Müller, Werner G.
openaire +3 more sources
A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection
IEEE AccessConsidering that most pavement anomaly detection algorithms are difficult to play a stable role in data related to different distributions of pavement anomalies, this paper proposes a pavement anomaly detection algorithm based on multi-scale fusion time ...
Zhang Jiazhen, Wang Xiulai, Zhao Shuxu
doaj +1 more source
Validation of a model of regulation in the tryptophan operon against multiple experiment data using global optimisation [PDF]
, 2009 This paper is concerned with validating a mathematical model of regulation in the tryptophan operon using global optimization. Although a number of models for this biochemical network are proposed, in many cases only qualitative agreement between the ...
Bates, D.G. +4 more
core
On optimal layer reinsurance model [PDF]
Applied Mathematical Sciences, 2019 In this paper, we consider the class of non-proportional reinsurance contracts known as layer reinsurance model or limited stop-loss treaty. With the aim of finding an optimal layer reinsurance, we make the choice of considering an optimization criteria preserving stop-loss order: we derive some conditions of optimality by minimizing insurer risk ...
Antonella Campana, Paola Ferretti
openaire +3 more sources
Systematic Modeling for Optimization [PDF]
, 2014 Optimization usually requires models, which are computationally speaking less expensive than models commonly used for simulations. At the same time, process optimization and model predictive control etc. require dependable accuracies in addition to the fastness.
Esche, Erik +2 more
openaire +1 more source