Parallel ant colony optimization for the determination of a point heat source position in a 2-D domain

2015 ◽  
Vol 91 ◽  
pp. 994-1002 ◽  
Author(s):  
B.H. Li ◽  
M. Lu ◽  
Y.G. Shan ◽  
H. Zhang
Keyword(s):  
Heat Source ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Source Position ◽  
Point Heat Source

scholarly journals Estimate of FDG Excretion by means of Compartmental Analysis and Ant Colony Optimization of Nuclear Medicine Data

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sara Garbarino ◽  
Giacomo Caviglia ◽  
Massimo Brignone ◽  
Michela Massollo ◽  
Gianmario Sambuceti ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
Fdg Pet ◽  
Final Section ◽  
Synthetic Data ◽  
Compartmental Analysis ◽  
Ant Colony ◽  
Computational Method ◽  
Positron Emission ◽  
Glycolytic Activity

[18F]fluoro-2-deoxy-D-glucose (FDG) is one of the most utilized tracers for positron emission tomography (PET) applications in oncology. FDG-PET relies on higher glycolytic activity in tumors compared to normal structures as the basis of image contrast. As a glucose analog, FDG is transported into malignant cells which typically exhibit an increased radioactivity. However, different from glucose, FDG is not reabsorbed by the renal system and is excreted to the bladder. The present paper describes a novel computational method for the quantitative assessment of this excretion process. The method is based on a compartmental analysis of FDG-PET data in which the excretion process is explicitly accounted for by the bladder compartment and on the application of an ant colony optimization (ACO) algorithm for the determination of the tracer coefficients describing the FDG transport effectiveness. The validation of this approach is performed by means of both synthetic data and real measurements acquired by a PET device for small animals (micro-PET). Possible oncological applications of the results are discussed in the final section.

An optimization algorithm for determining a point heat source position in a 2D domain using a hybrid metaheuristic

2018 ◽  
Vol 26 (3) ◽  
pp. 335-347
Author(s):  
Mehmet Kurt ◽  
Korhan Günel
Keyword(s):  
Heat Source ◽  
Dirichlet Boundary ◽  
Search Algorithm ◽  
Heat Conduction Problem ◽  
Empirical Studies ◽  
Gravitational Search Algorithm ◽  
Dirichlet Boundary Conditions ◽  
Source Position ◽  
Point Heat Source ◽  
Steady State Heat

AbstractIn this paper, we study an inverse problem of determining the unknown heat source position of a point-wise heat source in a two-dimensional steady-state heat conduction problem governed by a linear elliptic equation with the Dirichlet boundary conditions. The problem is solved by the hybridization of particle swarm optimization and the gravitational search algorithm with a newly defined mutation operator. Some empirical studies are also performed to gauge the accuracy of the proposed approach.

Applications of Ant Colony Optimization in determination of source parameters from total gradient of potential fields

2013 ◽  
Vol 12 (3) ◽  
pp. 373-390 ◽  
Author(s):  
Shalivahan Srivastava ◽  
Debanjan Datta ◽  
B.N.P Agarwal ◽  
Suman Mehta
Keyword(s):  
Ant Colony Optimization ◽  
Source Parameters ◽  
Ant Colony ◽  
Potential Fields ◽  
Total Gradient
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