Name
Abstract | ||
|---|---|---|
This paper proposes a self-adaptation mechanism to manage the resources allocated to the different species comprising a cooperative coevolutionary algorithm. The proposed approach relies on a dynamic extension to the well-known multi-armed bandit framework. At each iteration, the dynamic multi-armed bandit makes a decision on which species to evolve for a generation, using the history of progress made by the different species to guide the decisions. We show experimentally, on a benchmark and a real-world problem, that evolving the different populations at different paces allows not only to identify solutions more rapidly, but also improves the capacity of cooperative coevolution to solve more complex problems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2463372.2463556 | genetic and evolutionary computation conference |
Keywords | DocType | Volume |
cooperative coevolutionary algorithm,different population,sustainable cooperative coevolution,different pace,dynamic multi-armed bandit,cooperative coevolution,different species,complex problem,well-known multi-armed bandit framework,dynamic extension,multi armed bandit | Conference | abs/1304.3138 |
Citations | PageRank | References |
4 | 0.38 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| François-Michel De Rainville | 1 | 199 | 9.27 |
| Michèle Sebag | 2 | 1547 | 138.94 |
| Christian Gagné | 3 | 627 | 52.38 |
| Marc Schoenauer | 4 | 2500 | 350.82 |
| Denis Laurendeau | 5 | 803 | 169.72 |