Application of Soft Computing Techniques to Rescue Operation Planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099203" target="_blank" >RIV/68407700:21230/04:03099203 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Soft Computing Techniques to Rescue Operation Planning
Original language description
This paper presents an application of ant colony optimisation and genetic algorithm to rescue operation planning. It considers the task as the multiple travelling salesmen problem and proposes suitable heuristics in order to improve the performance of the selected techniques. Then it applies the implemented solutions to a real data. The paper concludes with comparison of the implementations and discussion on the aspects of the utilisationof the proposed heuristics
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F02%2F0132" target="_blank" >GA102/02/0132: Use of genetic principles in evolutionary algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence and Soft Computing - ICAISC 2004
ISBN
3-540-22123-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
897-902
Publisher name
Springer
Place of publication
Berlin
Event location
Zakopane
Event date
Jun 7, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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