AMBULANCE ROUTING WITH ANT COLONY OPTIMIZATION

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JAVIDANEH A.; ATAEI M.; ALE SHEYKH A.A.

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Seminar Paper

Paper Information

Seminar: GEOSPATIAL INFORMATION SYSTEMS
Year:2010 | Issue:6

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Title

AMBULANCE ROUTING WITH ANT COLONY OPTIMIZATION

Author(s)

JAVIDANEH A. | ATAEI M. | ALE SHEYKH A.A.

Keywords

AMBULANCE ROUTING

ANT COLONY OPTIMIZATION

ANT SYSTEM

VEHICLE ROUTING PROBLEM

Abstract

The VEHICLE ROUTING PROBLEM (VRP) is a generic name given to a whole class of problems in which a set of routes for a fleet of vehicles based on one or several depots must be determined for a number of geographically dispersed customers. ANT COLONY OPTIMIZATION (ACO) studies artificial systems that take inspiration from the behavior of real ant colonies and is used to solve discrete optimization problems. This paper attempts to solve AMBULANCE ROUTING as a VRP with ACO i.e. route ambulance so that injured people can be accommodated in hospitals as soon as possible (at least time). This traveling time depends on length of the traveled route and capacity of the hospitals. The implementation is done in MATLAB environment. Preliminary results showed that ACO can conveniently be used for routing problem.

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APA: Copy

JAVIDANEH, A., ATAEI, M., & ALE SHEYKH, A.A.. (2010). AMBULANCE ROUTING WITH ANT COLONY OPTIMIZATION. GEOSPATIAL INFORMATION SYSTEMS. SID. https://sid.ir/paper/904319/en

Vancouver: Copy

JAVIDANEH A., ATAEI M., ALE SHEYKH A.A.. AMBULANCE ROUTING WITH ANT COLONY OPTIMIZATION. 2010. Available from: https://sid.ir/paper/904319/en

IEEE: Copy

A. JAVIDANEH, M. ATAEI, and A.A. ALE SHEYKH, “AMBULANCE ROUTING WITH ANT COLONY OPTIMIZATION,” presented at the GEOSPATIAL INFORMATION SYSTEMS. 2010, [Online]. Available: https://sid.ir/paper/904319/en

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