Logistics simulation and optimization

Logistics simulation and optimization

Description

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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Year of publication

2022

Authors

HAMK Tech - Publisher

Genrikh Ekkerman - Creator

Olli Koskela - Creator

Olli Niemitalo - Creator

Other information

Open access

Open

License

Apache Software License 2.0

Keywords

route optimization, genetic algorithm, traveling salesman problem

Logistics simulation and optimization - Research.fi