Logistics simulation and optimization

Beskrivning

A demo of simulation and optimization of glass waste pickup selected municipalities in Finland. Two weeks of waste transportation traffic is simulated, with the routes (a list of locations for each vehicle, for each day) optimized by a genetic algorithm utilizing a simulator to calculate and minimize a cost function that depends on the routing. A monetary cost is calculated based on fuel consumption, overtime work, and daily penalties for overfull pickup sites. As can be seen in the above animation, the optimization does not care what happens after the two-week period, and many of the pickup sites are almost full at the end.
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Publiceringsår

2022

Typ av data

Upphovspersoner

HAMK Tech - Utgivare

Genrikh Ekkerman - Upphovsperson

Olli Koskela - Upphovsperson

Olli Niemitalo - Upphovsperson

Projekt

Övriga uppgifter

Vetenskapsområden

Språk

Öppen tillgång

Öppet

Licens

Apache Software License 2.0

Nyckelord

route optimization, genetic algorithm, traveling salesman problem

Ämnesord

Temporal täckning

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