Results 31 to 40 of about 9,535,029 (378)
A Procedure of Global Optimization and its Application to Estimate Parameters in Interaction Spatial Models [PDF]
International Journal for Simulation and Multidisciplinary Design Optimization, 2010 This work concerns the calibration of trip distribution models issued from Transportation Planning. The optimal estimators are the global minima of a non-convex function.
Bez Edson Tadeu +2 more
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Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Holder constants [PDF]
, 2015 In this paper, the global optimization problem $\min_{y\in S} F(y)$ with $S$ being a hyperinterval in $\Re^N$ and $F(y)$ satisfying the Lipschitz condition with an unknown Lipschitz constant is considered.
Lera, Daniela, Sergeyev, Yaroslav D.
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Mathematics, 2020 In this research, an easy-to-use particle swarm optimizer (PSO) for solving constrained engineering design problems involving mixed-integer-discrete-continuous (MIDC) variables that adopt two kinds of diversity-enhancing mechanisms to achieve superior ...
Tae-Hyoung Kim +2 more
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Mathematics, 2022 This article considers a box-constrained global optimization problem for Lipschitz continuous functions with an unknown Lipschitz constant. The well-known derivative-free global search algorithm DIRECT (DIvide RECTangle) is a promising approach for such ...
Linas Stripinis, Remigijus Paulavičius
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Global optimization for low-dimensional switching linear regression and bounded-error estimation [PDF]
, 2017 The paper provides global optimization algorithms for two particularly difficult nonconvex problems raised by hybrid system identification: switching linear regression and bounded-error estimation.
Lauer, Fabien
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Thermodynamics of Global Optimization
Physical Review Letters, 1998 Theoretical design of global optimization algorithms can profitably utilize recent statistical mechanical treatments of potential energy surfaces (PES's). Here we analyze a particular method to explain its success in locating global minima on surfaces with a multiple-funnel structure, where trapping in local minima with different morphologies is ...
Doye, J, Wales, D
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Combinatorial and Global Optimization [PDF]
, 2002 "Combinatorial and global optimization problems appear in a wide range of applications in operations research, engineering, biological science, and computer science. In combinatorial optimization and graph theory, many approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic, and algebraic ...
Pardalos, P. M. (Panos M.), 1954- +2 more
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Machine learning for global optimization [PDF]
Computational Optimization and Applications, 2010 In this paper we introduce the LeGO (Learning for Global Optimization) approach for global optimization in which machine learning is used to predict the outcome of a computationally expensive global optimization run, based upon a suitable training performed by standard runs of the same global optimization method.
CASSIOLI, ANDREA +4 more
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Journal of Advanced Mechanical Design, Systems, and ManufacturingThis study delves into the automatic analog circuit design, focusing primarily on topology optimization. Many real-world calculations and evaluations often involve complex and nonlinear problems, posing significant challenges in optimization.
Masaharu HIDA +4 more
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Mathematics, 2022 This paper contains two main parts, Part I and Part II, which discuss the local and global minimization problems, respectively. In Part I, a fresh conjugate gradient (CG) technique is suggested and then combined with a line-search technique to obtain a ...
Khalid Abdulaziz Alnowibet +4 more
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