Abstract | ||
---|---|---|
Much research has been carried out into solving routing problems using both Evolutionary Techniques and other methods. In this paper the authors investigate the usage of an Evolutionary Algorithms to solve the Street-Based Routing Problem (SBRP). The SBRP is a subset of the Travelling Salesman Problem that deals specifically with a street-based environment. The paper also compares two possible strategies for evolving networks of routes. This paper may be considered introduction to the particular problem, and opens the way for future research into this area. |
Year | Venue | Keywords |
---|---|---|
2001 | EvoWorkshops | routing problem,travelling salesman,evolutionary techniques,possible strategy,street-based environment,evolutionary algorithms,street-based routing problem,particular problem,evolutionary algorithm,travelling salesman problem |
Field | DocType | Volume |
Memetic algorithm,Evolutionary algorithm,Computer science,Evolving networks,Travelling salesman problem,Artificial intelligence,Genetic algorithm | Conference | 2037 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-41920-9 | 3 |
PageRank | References | Authors |
0.46 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
neil b urquhart | 1 | 83 | 14.70 |
Ben Paechter | 2 | 514 | 65.78 |
Kenneth Chisholm | 3 | 329 | 127.53 |