Results 21 to 30 of about 1,449,938 (284)

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, Gonçalves Mirian Buss, Souza de Cursi José Eduardo   +2 more
doaj   +1 more source

A hybrid multiagent approach for global trajectory optimization [PDF]

, 2008
In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers(corresponding to a set of different design
A. Torn, C.D. Perttunen, C.P. Stephens, D.R. Jones, E. Elbeltagi, E.R. Dam, G. Rauwolf, J.W. Hartmann, Marco Locatelli, Massimiliano Vasile, P. Gurfil, P. Pascale De, P.J. Gage, R. Horst, R. Storn, W. Huyer   +15 more
core   +1 more source

Global Optimality in Low-Rank Matrix Optimization [PDF]

IEEE Transactions on Signal Processing, 2017
This paper considers the minimization of a general objective function $f(X)$ over the set of rectangular $n\times m$ matrices that have rank at most $r$. To reduce the computational burden, we factorize the variable $X$ into a product of two smaller matrices and optimize over these two matrices instead of $X$. Despite the resulting nonconvexity, recent
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin   +3 more
openaire   +2 more sources

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.
core   +2 more sources

Fusion Global‐Local‐Topology Particle Swarm Optimization for Global Optimization Problems [PDF]

Mathematical Problems in Engineering, 2014
In recent years, particle swarm optimization (PSO) has been extensively applied in various optimization problems because of its structural and implementation simplicity. However, the PSO can sometimes find local optima or exhibit slow convergence speed when solving complex multimodal problems.
Zahra Beheshti, Siti Mariyam Shamsuddin, Sarina Sulaiman   +2 more
openaire   +3 more sources

Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer

Journal of Advanced Mechanical Design, Systems, and Manufacturing
This 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, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI   +4 more
doaj   +1 more source

Constrained Mixed-Variable Design Optimization Based on Particle Swarm Optimizer with a Diversity Classifier for Cyclically Neighboring Subpopulations

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, Minhaeng Cho, Sangwoo Shin   +2 more
doaj   +1 more source

Experimental Study of Excessive Local Refinement Reduction Techniques for Global Optimization DIRECT-Type Algorithms

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
doaj   +1 more source

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
core   +4 more sources

A Family of Hybrid Stochastic Conjugate Gradient Algorithms for Local and Global Minimization Problems

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, Salem Mahdi, Ahmad M. Alshamrani, Karam M. Sallam, Ali Wagdy Mohamed   +4 more
doaj   +1 more source