Skip to main navigation Skip to search Skip to main content

Application of the ant colony optimization algorithm for reconstruction of the thermal conductivity coefficient

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper the parametric inverse heat conduction problem with the third kind boundary condition is solved by applying the Ant Colony Optimization algorithm introduced in recent years and belonging to the group of optimization algorithms inspired by the behavior of swarms of individuals living in real word. In this case the applied algorithm is based on the technique of searching for the shortest way connecting the ant-hill with the source of food and is used for minimizing the functional playing a crucial role in the proposed procedure prepared for reconstruction of the thermal conductivity coefficient.

Original languageEnglish
Title of host publicationSwarm and Evolutionary Computation - International Symposia, SIDE 2012 and EC 2012, Held in Conjunction with ICAISC 2012, Proceedings
Pages240-248
Number of pages9
DOIs
Publication statusPublished - 2012
EventSymposium on Swarm Intelligence and Differential Evolution, SIDE 2012 and Symposium on Evolutionary Computation, EC 2012, Held in Conjunction with 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012 - Zakopane, Poland
Duration: 29 Apr 2012 → 3 May 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7269 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceSymposium on Swarm Intelligence and Differential Evolution, SIDE 2012 and Symposium on Evolutionary Computation, EC 2012, Held in Conjunction with 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012
Country/TerritoryPoland
CityZakopane
Period29/04/12 → 3/05/12

Keywords

  • Ant Colony Optimization Algorithm
  • Artificial Intelligence
  • Inverse Heat Conduction Problem
  • Swarm Intelligence

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Application of the ant colony optimization algorithm for reconstruction of the thermal conductivity coefficient'. Together they form a unique fingerprint.

Cite this