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Fast_BlockMatching_Registration_with_Entropy-based
... algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possible using local entropy-based similarity measures and the avoidance of the optimization module.
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Genetic_Algorithm_Optimization_Toolbox_package_Mat
This directory contains the Genetic Algorithm Optimization Toolbox for
Matlab
To use this, if you are local to NCSU and have AFS access to this
directory, simply extend the matlab path using the following command.
You can also place this command in a ...
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TSP(TravelingSalesmanProblem).rar
Traveling Salesman Problem (TSP) has been an interesting problem for a long
time in classical optimization techniques which are based on linear and nonlinear
programming. TSP can be described as follows: Given a number of cities to visit
and their ...
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11b.rar
A New Optimization Model for Dynamic Power and Sub-Carrier
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TechTradeTool.zip
Curve Fitting Toolbox,Excel Link,Financial Toolbox,Financial Time Series Toolbox,Optimization Toolbox
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pso_Methods_for_Pattern_Recognition_and_Image_Proc
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the ...
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improving_the_performance_of_pso_using_adaptive_de
Swarm intelligence algorithms are based on natural
behaviors. Particle swarm optimization (PSO) is a
stochastic search and optimization tool. Changes in the
PSO parameters, namely the inertia weight and the
cognitive and social acceleration ...
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