Name
Abstract | ||
|---|---|---|
In this paper, new solutions to a benchmark TEAM problem for multi-objective optimization are given. The benchmark was recently proposed, and it is the only one dealing with multi-objective optimization among the TEAM benchmark problems. For solving this problem, an algorithm based on swarm intelligence, the CFSO algorithm, is used. The results are compared with those obtained with the well-known algorithm NSGA-II. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/RTSI.2018.8548364 | 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) |
Keywords | DocType | ISBN |
CFSO algorithm,swarm intelligence,multi-criteria design,multi-objective problems,benchmark TEAM problem,TEAM benchmark problems,multiobjective optimization | Conference | 978-1-5386-6283-0 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Di Barba | 1 | 5 | 2.87 |
| Maria Evelina Mognaschi | 2 | 5 | 2.87 |
| Gabriele Maria Lozito | 3 | 23 | 7.27 |
| Alessandro Salvini | 4 | 39 | 8.32 |
| Fabrizio Dughiero | 5 | 8 | 4.93 |
| Elisabetta Sieni | 6 | 1 | 0.43 |