Name
Abstract | ||
|---|---|---|
Continuous opinion dynamics optimizer CODO is an algorithm based on human collective opinion formation process for solving continuous optimization problems. In this paper, we have studied the impact of topology and introduction of leaders in the society on the optimization performance of CODO. We have introduced three new variants of CODO and studied the efficacy of algorithms on several benchmark functions. Experimentation demonstrates that scale free CODO performs significantly better than all algorithms. Also, the role played by individuals with different degrees during the optimization process is studied. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-20466-6_1 | ICSI |
Field | DocType | Citations |
Continuous optimization,Topology,Opinion formation,Computer science,Swarm intelligence,Artificial intelligence,Opinion dynamics | Conference | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rishemjit Kaur | 1 | 14 | 4.13 |
| Ritesh Kumar | 2 | 293 | 37.56 |
| Amol P. Bhondekar | 3 | 24 | 4.78 |
| Reiji Suzuki | 4 | 105 | 33.02 |
| Takaya Arita | 5 | 130 | 42.34 |