Developing a Multi-Agent System for Dynamic Scheduling Trough Aose Perspective

Author(s):  
Ana Madureira ◽  
Joaquim Santos ◽  
Nuno Gomes ◽  
Ilda Ferreira
2005 ◽  
Author(s):  
Qiang Gao ◽  
Hongli Wang ◽  
Long Guo ◽  
Jianping Xiang

Author(s):  
Bernardo Firme ◽  
Guilherme Lopes ◽  
Miguel S. E. Martins ◽  
Tiago Coito ◽  
Joaquim Viegas ◽  
...  

2018 ◽  
Vol 36 (11) ◽  
pp. 1113-1121 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Arkady Zaslavsky ◽  
Inna Sosunova ◽  
Petr Fedchenkov ◽  
Alexey Medvedev ◽  
...  

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.


2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI

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