Using the swarm intelligence algorithms in solution of the two-dimensional inverse Stefan problem

被引：19

作者：

Hetmaniok, Edyta ^{[1
]}

Slota, Damian ^{[1
]}

Zielonka, Adam ^{[1
]}

机构：

[1] Silesian Tech Univ, Inst Math, PL-44100 Gliwice, Poland

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2015年 / 69卷 / 04期

关键词：

Inverse Stefan problem; Solidification; Heat transfer; Artificial intelligence; Swarm intelligence; ANT COLONY OPTIMIZATION; NUMERICAL-SOLUTION; SOLIDIFICATION PROCESSES; REGULARIZATION METHOD; FUNDAMENTAL-SOLUTIONS; THERMAL-CONDUCTIVITY; GENETIC ALGORITHM; DESIGN; IDENTIFICATION; UNIQUENESS;

D O I：

10.1016/j.camwa.2014.12.013

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In the paper a procedure for solving the two-dimensional inverse Stefan problem is presented. In considered problem the heat transfer coefficient is identified with the aid of known measurements of temperature in selected points of the region as the additional information. Direct Stefan problem is solved by using the alternating phase truncation method. Goal of the paper is to compare two swarm intelligence algorithms the Ant Colony Optimization algorithm and the Artificial Bee Colony algorithm applied for minimizing a functional expressing the error of approximate solution. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：347 / 361

页数：15

共 72 条

[1]

Albrecht J, 1982, NUMERICAL TREATMENT, P127

[2] Regularization of a two-dimensional two-phase inverse Stefan problem [J].