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On the Practical Optimal Momentum Parameters

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019
This short note presents the optimal parameters of the steepest descent method with momentum for minimizing a quadratic function. Since the existing optimal parameters in the literature rely on the eigenvalue approximation of a matrix with high order, which is very expensive, this note gives another kind of practical optimal parameters without the ...
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On the parameters optimization in handover algorithms

VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151), 2002
This paper investigates the performance of handover algorithms used in microcellular F-TDMA radio networks such as GSM. A very general simulation tool has been developed within the framework of a cooperation be- tween the University of Bologna and Italtel SPA.
O. ANDRISANO   +4 more
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Parameter Optimization with ACSL Models

SIMULATION, 1987
A method whereby a parameter optimization program, written in FORTRAN, can be used in conjunction with ACSL (Advanced Continuous Simulation Language) models of dynamic systems is described. The optimization of a projectile's trajectory is used as an example.
Joseph R. Amyot, Gerard van Blokland
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Parameter Optimization

2018
Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to ...
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Real-parameter optimization with OptBees

2014 IEEE Congress on Evolutionary Computation (CEC), 2014
This paper reports how OptBees, an algorithm inspired by the collective decision-making of bee colonies, performed in the test bed developed for the Special Session & Competition on Real-Parameter Single Objective Optimization at CEC-2014. The test bed includes 30 scalable functions, many of which are both non-separable and highly multi-modal.
Renato Dourado Maia   +2 more
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Optimal Parameters for Multidimensional Integration

SIAM Journal on Numerical Analysis, 1973
A method is given for generating parameters for multidimensional integration which are optimal in the sense of Korobov. It is an extension of Korobov’s method but decreases the time required to compute parameters. In higher dimensions Korobov optimal parameters can be produced by this method more inexpensively than by the original method.
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Parameter Optimization in Hierarchical Structures

1999
The genetic-algorithm-based method described in this paper can be used to identify a parameter set whose value defines the gene regulation circuit. To demonstrate the effectiveness of the approach we choose Drosophila segmentation processes. In the processes, we search the parameter set of diffusion constant and transcription ratio of each gene.
Shugo Hamahashi, Hiroaki Kitano
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Optimal sequential parameter estimation

2013 IEEE International Symposium on Information Theory, 2013
We develop optimal centralized sequential estimators under different formulations of the problem. Decentralized sequential estimation is also considered for wireless sensor networks. We propose an asymptotically optimal decentralized scheme based on level-triggered sampling, a non-uniform sampling technique.
Yasin Yilmaz 0001   +2 more
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Optimization of Parameters for an USV Autopilot

2015
The purpose of this research is to provide an insight into the effect of different parameters on the autopilot design. Various independent parameters of three autopilots namely, proportional integral derivative, linear quadratic regulator and model predictive controller are analyzed and evaluated to obtain optimum performance.
Andy S. K. Annamalai   +1 more
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Parameter optimization for spray coating

Advances in Engineering Software, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Kout, Heinrich Müller
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