Results 41 to 50 of about 12,666,425 (359)
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
, 2009 Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
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Civil and Environmental Engineering, 2016 The sandwich structures have multifold advantages with respect to other types of structures. Besides the architectural possibilities due to their appearance, those structures can carry the same or even higher loads than some other similar structures ...
Nikolić Ružica R. +2 more
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An automated system for program parameters fine tuning in the cloud [PDF]
Компьютерные исследования и моделирование, 2015 The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds.
S. A. Smirnov, A. S. Tarasov
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A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization [PDF]
International Journal of Database Management Systems, 2019 This paper aims to explore models based on the extreme gradient boosting (XGBoost) approach for business risk classification. Feature selection (FS) algorithms and hyper-parameter optimizations are simultaneously considered during model training.
Yan Wang, X. Ni
semanticscholar +1 more source
A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]
, 2012 Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D. +16 more
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A Criteria Transformation Approach to Pattern Matching based on Non-Linear Parameter Optimization
Journal of Intelligent Systems, 2015 This paper presents a concept for pattern matching based on a parameter optimization system for approximative numerical calculation of some parameter combination under soft and hard constraints. The concept uses a non-linear parameter optimization method
John Christian +4 more
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An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]
, 2006 In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar +5 more
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An RRAM Biasing Parameter Optimizer [PDF]
IEEE Transactions on Electron Devices, 2015 Research on memory devices is a highly active field, and many new technologies are being constantly developed. However, characterizing them and understanding how to bias for optimal performance are becoming an increasingly tight bottleneck. Here, we propose a novel technique for extracting biasing parameters, conducive to desirable switching behavior ...
Serb, Alexantrou +2 more
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Orthogonal learning particle swarm optimization [PDF]
, 2010 Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan +7 more
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