Results 21 to 30 of about 419,297 (312)
Global Optimization: A Machine Learning Approach [PDF]
, 2023 Many approaches for addressing Global Optimization problems typically rely on relaxations of nonlinear constraints over specific mathematical primitives. This is restricting in applications with constraints that are black-box, implicit or consist of more
Bertsimas, Dimitris +1 more
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Neural Network Algorithm with Dropout Using Elite Selection
Mathematics, 2022 A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural network, which has a strong global search ability and can be used to solve global optimization problems.
Yong Wang, Kunzhao Wang, Gaige Wang
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Diffusions for Global Optimization
SIAM Journal on Control and Optimization, 1986 This paper describes a problem of finding a global minimum of a real- valued function defined on the unit hypercube in Euclidean n-space. The problem is changed to a stochastic differential equation by using the gradient of the above function as the drift term and a diffusion term which is interpreted as a constant times the square root of ...
Geman, Stuart, Hwang, Chii-Ruey
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A New Hybrid Classical-quantum Algorithm For Continuous Global Optimization Problems [PDF]
, 2015 Grover’s algorithm can be employed in global optimization methods providing, in some cases, a quadratic speedup over classical algorithms. This paper describes a new method for continuous global optimization problems that uses a classical algorithm for ...
Lavor C., Lara P.C.S., Portugal R.
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Agent-based Optimization of Advisory Strategy Parameters
Journal of Telecommunications and Information Technology, 2013 In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered.
Mateusz Polnik +2 more
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Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
, 2012 This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
Günay, Akın +6 more
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A self-learning particle swarm optimizer for global optimization problems [PDF]
, 2011 Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S +8 more
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Continuous GRASP with a local active-set method for bound-constrained global optimization [PDF]
, 2010 Global optimization, Stochastic methods, Active-set methods, Heuristic, CGRASP, GENCAN,
GOZZI, Erico M. +7 more
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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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Machine learning for global optimization [PDF]
Computational Optimization and Applications, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CASSIOLI, ANDREA +4 more
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