Paper Info
Title
A Method for Solving the Time Fractional Heat Conduction Inverse Problem Based on Ant Colony Optimization and Artificial Bee Colony Algorithms.
Abstract
The paper presents an application of ant colony optimization and artificial bee colony algorithms to solve the inverse heat conduction problem of fractional order. In a given fractional heat conduction model, one of the parameters - thermal conductivity coefficient is missing. With output of the model - temperature measurements, functional defining error of approximate solution is created. In order to reconstruct thermal conductivity coefficient we apply swarm intelligence algorithms to minimize created functional.
Year
DOI
Venue
2017
10.1007/978-3-319-67642-5_29
Communications in Computer and Information Science
Keywords
Field
DocType
Fractional heat conduction equation,Artificial bee colony algorithm,Ant colony algorithm,Inverse problem
Ant colony optimization algorithms,Inverse,Artificial bee colony algorithm,Swarm intelligence,Algorithm,Inverse problem,Thermal conduction,Approximate solution,Mathematics,Thermal conductivity
Conference
Volume
ISSN
Citations 
756
1865-0929
0
PageRank 
References 
Authors
0.34
11
2
Name
Order
Citations
PageRank
r brociek1103.35
Damian Słota27823.72