Distributed Swarm Optimization Modeling for Waste Collection Vehicle Routing Problem
| Autor: | EL Fazazi Hanae, Youssfi Mohamed, Elgarej Mouhcine, Mansouri Khalifa, Benmoussa Nezha |
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| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Operations research Computer science 020209 energy Multi-agent system Ant colony optimization algorithms Waste collection 02 engineering and technology computer.software_genre Intelligent agent Vehicle routing problem 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing computer Simulation |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 8 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2017.080943 |
| Popis: | In this paper, we consider a complex garbage collection problem, where the residents of a particular area dispose of recyclable garbage, which is collected and managed using a fleet of trucks with different weight capacities and volume. This tour is characterized by a set of constraints such as the maximum tour duration (in term of distance and the timing) consumed to collect wastes from several locations. This problem is modeled as a garbage collection vehicle routing problem, which aims to minimize the cost of traveling routes (minimizing the distance traveled) by finding optimal routes for vehicles such that all waste bins are emptied and the waste is driven towards the disposal locations. We propose a distributed technique based on the Ant Colony system Algorithm to find optimal routes that help vehicles to visit all the wastes bins using interactive agents consumed based on the behavior of real ants. The designed solution will try to create a set of layers to control and manage the waste collection, each layer will be handled by an intelligent agent which is characterized by a specific behavior, in this architecture a set of behaviors have been designed to optimizing routes and control the real time capacity of vehicles. Finally, manage the traffic messages between the different agents to select the best solutions that will be assigned to each vehicle. The developed solution performs well compared to the traditional solution on small cases. |
| Databáze: | OpenAIRE |
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