Abstract
Nowadays, public transportation has become an essential area for the actual society, which directly affects the quality of life. There are different sort of public transportation systems. One type that receives much attention these days because of its great social interest is the transportation on-demand. Some of the most well-known on-demand transports systems are the Demand Responsive Transit, and the Dial-a-Ride. In this paper, a real-world Dial-a-Ride problem is presented and modeled as a Multi-Attribute Traveling Salesman Problem. In addition, in this work a benchmark of this problem is presented, and the first resolution of this benchmark is offered. For the resolution of the problem an Adaptive Multi-Crossover Population Algorithm has been implemented.
| Original language | English |
|---|---|
| Title of host publication | SAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 151-156 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479982219 |
| DOIs | |
| Publication status | Published - 16 Mar 2015 |
| Externally published | Yes |
| Event | 13th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2015 - Herl'any, Slovakia Duration: 22 Jan 2015 → 24 Jan 2015 |
Publication series
| Name | SAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings |
|---|
Conference
| Conference | 13th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2015 |
|---|---|
| Country/Territory | Slovakia |
| City | Herl'any |
| Period | 22/01/15 → 24/01/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- Combinatorial optimization
- Genetic Algorithm
- Metaheuristic
- On demand transportation
- Traveling Salesman Problem
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