Name
Abstract | ||
|---|---|---|
An urban environment provides a number of challenges and opportunities for organisations faced with the task of scheduling a mobile workforce. Given a mixed set of public and private transportation and a list of scheduling constraints, we seek to find solutions that are optimised with respect to the objectives of CO2 emissions and time. An optimiser, based on the NSGA-II algorithm, is used to find a range of solutions that offer the multiple options by trading CO2 emissions against time.
|
Year | Venue | Field |
|---|---|---|
2015 | GECCO (Companion) | Mathematical optimization,Evolutionary algorithm,Scheduling (computing),Computer science,Workforce,Urban environment,Modal |
DocType | ISBN | Citations |
Conference | 978-1-4503-3488-4 | 3 |
PageRank | References | Authors |
0.44 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| neil b urquhart | 1 | 83 | 14.70 |
| Emma Hart | 2 | 97 | 18.02 |
| Alistair Judson | 3 | 3 | 0.44 |