A Method for Solving the Time Fractional Heat Conduction Inverse Problem Based on Ant Colony Optimization and Artificial Bee Colony Algorithms-Reference-Cited by-同舟云学术

A Method for Solving the Time Fractional Heat Conduction Inverse Problem Based on Ant Colony Optimization and Artificial Bee Colony Algorithms

Published:2017 Issue: Volume: Page:351-361
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Brociek Rafał,Słota Damian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-67642-5_29

Reference23 articles.

1. Birvinskas, D., Jusas, V., Martisius, I., Damasevicius, R.: Data compression of EEG signals for artificial neural network classification. Inf. Technol. Control 42, 238–241 (2013)

2. Brociek, R., Słota, D.: Reconstruction of the boundary condition for the heat conduction equation of fractional order. Therm. Sci. 19, 35–42 (2015)

3. Das, R., Akay, B., Singla, R.K., Singh, K.: Application of artificial bee colony algorithm for inverse modelling of a solar collector. Inverse Probl. Sci. Eng. 25, 887–908 (2017)

4. Lecture Notes in Computer Science;E Hetmaniok,2016

5. Hetmaniok, E.: Inverse problem for the solidification of binary alloy in the casting mould solved by using the bee optimization algorithm. Heat Mass Transf. 52, 1369–1379 (2016)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Energy Recovery from Hazardous Waste in a Waste Incineration Plant with the Use of an Application;Processes;2022-02-24

2. Inverse Problem for a Two-Dimensional Anomalous Diffusion Equation with a Fractional Derivative of the Riemann–Liouville Type;Energies;2021-05-26