Solving the rural postman problem using a genetic algorithm with a graph transformation
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
A 3/2-Approximation Algorithm for the Mixed Postman Problem
SIAM Journal on Discrete Mathematics
Improving Street Based Routing Using Building Block Mutations
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
A Genetic Algorithm for the Capacitated Arc Routing Problem and Its Extensions
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Street-Based Routing Using an Evolutionary Algorithm
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Journal of Artificial Intelligence Research
Routing using evolutionary agents and proactive transactions
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
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This paper investigates the solving of a real world routing problem using evolutionary algorithms embedded within a Multi-agent system (MAS). An architecture for the MAS is proposed and mechanisms for controlling the interactions of agents are investigated. The control mechanism used in the final solution is based on the concept of agents submitting bids to receive work. The agents are also allowed to alter their bidding strategies as the solution improves. The MAS solves the test problem is solved, which previously could not be solved within the hard constraints.