Results 51 to 60 of about 2,269,659 (185)
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits [PDF]
BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlinear optimization, stochastic bandits or sequential experimental design problems.
Martinez-Cantin, Ruben
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Hashing with binary autoencoders
An attractive approach for fast search in image databases is binary hashing, where each high-dimensional, real-valued image is mapped onto a low-dimensional, binary vector and the search is done in this binary space.
Carreira-Perpiñán, Miguel Á. +1 more
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A modified migration model biogeography evolutionary approach for electromagnetic device multiobjective optimization [PDF]
Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electromagnetic devices.Therecentlydeveloped biogeography-based optimization (BBO) is modified byadapting its migration model function so as to improve its ...
Dupré, Luc +2 more
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The fireworks algorithm (FA) is a new parallel diffuse optimization algorithm to simulate the fireworks explosion phenomenon, which realizes the balance between global exploration and local searching by means of adjusting the explosion mode of fireworks ...
Yu-Feng Sun +2 more
doaj +1 more source
Optimization of structures on the basis of fracture mechanics and reliability criteria [PDF]
Systematic summary of factors which are involved in optimization of given structural configuration is part of report resulting from study of analysis of objective function.
Heer, E., Yang, J. N.
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Beam orientation optimization (BOO) is a key component in the process of IMRT treatment planning. It determines to what degree one can achieve a good treatment plan quality in the subsequent plan optimization process.
Bortfeld T +15 more
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Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bilinear programming formulation of value function approximation, which employs
Petrik, Marek, Zilberstein, Shlomo
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In the pursuit of enhancing harmonic detection precision within microgrids, this paper introduces a pioneering algorithm, VMD-DCHHO-HD, which amalgamates Variational Mode Decomposition (VMD) with an advanced Harris Hawk Optimization algorithm ...
Xinchen Wang +5 more
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Model Reduction using a Frequency-Limited H2-Cost
We propose a method for model reduction on a given frequency range, without the use of input and output filter weights. The method uses a nonlinear optimization approach to minimize a frequency limited H2 like cost function.
Löfberg, Johan, Petersson, Daniel
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On Solving Convex Optimization Problems with Linear Ascending Constraints [PDF]
In this paper, we propose two algorithms for solving convex optimization problems with linear ascending constraints. When the objective function is separable, we propose a dual method which terminates in a finite number of iterations.
Wang, Zizhuo
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