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Data-driven formulation of steel fiber pull-out force in cementitious composites using genetic programming [PDF]
Scientific ReportsThis study aims to develop a data-driven approach for predicting and formulating the pull-out force of steel fibers in cementitious composites using a genetic programming variant, gene expression programming (GEP).
Ali Kooshkaki +3 more
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Novel robust fuzzy mathematical programming methods
Applied Mathematical Modelling, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mir Saman Pishvaee
exaly +3 more sources
IEEE Access, 2022 Mimicking the biological visual attention mechanism to detect salient objects in images has been widely studied in recent years. Most of the existing computational models rely on external learning for saliency prediction, which however lack robustness in
Shigang Wang
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Dynamics, 2023 This manuscript relates to the exploiting of the abstract calculus pattern (ACP) for the (numerical) solution of ordinary differential equation (ODEs) systems, which are ubiquitous mathematical formulations of many physical (dynamical) phenomena.
Stefano Zaghi, Cristiano Andolfi
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Entropic Approximation for Mathematical Programs with Robust Equilibrium Constraints [PDF]
SIAM Journal on Optimization, 2014 In this paper, we consider a class of mathematical programs with robust equilibrium constraints represented by a system of semi-infinite complementarity constraints (SIC C). We propose a numerical scheme for tackling SICC. Specific ally, by relaxing the complementarity constraints and then randomizing the index set of SICC, we employ the well-known ...
Yongchao Liu 0001, Huifu Xu
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Robustness elasticity in complex networks. [PDF]
PLoS ONE, 2012 Network robustness refers to a network's resilience to stress or damage. Given that most networks are inherently dynamic, with changing topology, loads, and operational states, their robustness is also likely subject to change.
Timothy C Matisziw +2 more
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The capacitated m two node survivable star problem [PDF]
Yugoslav Journal of Operations Research, 2017 In this paper, we address the problem of network design with redundant connections, often faced by operators of telephone and internet services. The network connects customers with one master node and is built by taking into account the rules that shape ...
Bayá Gabriel +2 more
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European Journal of Operational Research, 2022 The radius of robust feasibility provides a numerical value for the largest possible uncertainty set that guarantees feasibility of a robust counterpart of a mathematical program with uncertain constraints. The objective of this review of the state-of-the-art in this field is to present this useful tool of robust optimization to its potential users and
Miguel A. Goberna +3 more
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Convergence Analysis for Mathematical Programs with Distributionally Robust Chance Constraint [PDF]
SIAM Journal on Optimization, 2017 Summary: Convergence analysis for optimization problems with chance constraints concerns impact of variation of probability measure in the chance constraints on the optimal value and the optimal solutions and research on this topic has been well documented in the literature of stochastic programming.
Shaoyan Guo, Huifu Xu, Liwei Zhang
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Fault Coverage-Aware Metrics for Evaluating the Reliability Factor of Solar Tracking Systems
Energies, 2021 This paper presents a mathematical approach for determining the reliability of solar tracking systems based on three fault coverage-aware metrics which use system error data from hardware, software as well as in-circuit testing (ICT) techniques, to ...
Raul Rotar +3 more
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