Name
Abstract | ||
|---|---|---|
Mission Planning Problem for a large number of Unmanned Air Vehicles (UAV) consists of a set of locations to visit in different time windows, and the actions that the vehicle can perform based on its features such as the sensors, speed or fuel capacity. After formulating this problem as a Constraint Satisfaction Problem (CSP), we try to search the set of Non dominated solutions which minimize the fuel consumption and the makespan of the mission. To solve it, we will use a Multi-Objective Genetic Algorithm (MOGA), that will match the model constraints and use a multi-objective function in order to optimize these objective variables. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2739482.2768481 | GECCO (Companion) |
Field | DocType | Citations |
Mathematical optimization,Job shop scheduling,Computer science,Constraint satisfaction problem,Fuel efficiency,Objective variables,Genetic algorithm | Conference | 4 |
PageRank | References | Authors |
0.49 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian Ramírez-Atencia | 1 | 40 | 7.40 |
| Gema Bello Orgaz | 2 | 116 | 10.36 |
| María D. R-Moreno | 3 | 97 | 15.22 |
| David Camacho | 4 | 22 | 4.57 |