Results 21 to 30 of about 1,466,009 (282)
Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Holder constants [PDF]
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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Fast multi-swarm optimization for dynamic optimization problems [PDF]
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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Global Optimality in Low-Rank Matrix Optimization [PDF]
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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Domestic energy management methodology for optimizing efficiency in Smart Grids [PDF]
Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency.
Bakker, Vincent +4 more
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Fusion Global‐Local‐Topology Particle Swarm Optimization for Global Optimization Problems [PDF]
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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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 +4 more
doaj +1 more source
3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm
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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Two-Stage Eagle Strategy with Differential Evolution [PDF]
Efficiency of an optimization process is largely determined by the search algorithm and its fundamental characteristics. In a given optimization, a single type of algorithm is used in most applications.
Deb, Suash, Yang, Xin-She
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An efficient parallel global optimization strategy based on Kriging properties suitable for material parameters identification [PDF]
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
doaj +1 more source
Antimicrobial resistance (AMR) remains a critical global health challenge, and is mainly due to inappropriate antimicrobial use in human and animal health sectors.
Dathan Byonanebye +11 more
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