Cluster-Based Optimization of Cellular Materials and Structures for Crashworthiness [PDF]
, 2018 The objective of this work is to establish a cluster-based optimization method for the optimal design of cellular materials and structures for crashworthiness, which involves the use of nonlinear, dynamic finite element models. The proposed method uses a
Detwiler, Duane, Liu, Kai, Tovar, Andres
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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 +3 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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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 +2 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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Design of optimal spacecraft-asteroid formations through a hybrid global optimization approach [PDF]
, 2008 Purpose – The purpose of this paper is to present a methodology and experimental results on using global optimization algorithms to determine the optimal orbit, based on the mission requirements, for a set of spacecraft flying in formation with an ...
Maddock, C., Vasile, M.
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3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm
Micromachines, 2021 Power optimization is an important part of network-on-chip(NoC) design. This paper proposes an improved algorithm based on genetic algorithm on how to properly map IP (Intellectual Property) cores to 3D NoC.
Yu Gan, Hong Guo, Ziheng Zhou
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An efficient parallel global optimization strategy based on Kriging properties suitable for material parameters identification [PDF]
Archive of Mechanical Engineering, 2020 Material parameters identification by inverse analysis using finite element computations leads to the resolution of complex and time-consuming optimization problems. One way to deal with these complex problems is to use meta-models to limit the number of
Emile Roux +3 more
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An informational approach to the global optimization of expensive-to-evaluate functions
, 2007 In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each evaluation contributes to the localization of good candidates for the role of global ...
Département Signaux +5 more
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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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