Name
Title | ||
|---|---|---|
An Adaptive Divide-and-ConquerMethodology forEvolutionary Multi-criterion Optimisation |
Abstract | ||
|---|---|---|
Abstract. Improved,sample-based,trade-off surface representations for large numbers,of performance,criteria can be achieved by dividing the global problem into groups of independent, parallel sub-problems, where possible. This paper describes a progressive,criterion-space decomposition,methodology,for evolutionary optimisers, which uses concepts from parallel evolutionary algorithms and nonparametric,statistics. The method,is evaluated,both quantitatively and qualitatively using a rigorous experimental,framework.,Proof-of-principle results confirm the potential of the adaptive divide-and-conquer strategy. |
Year | Venue | Keywords |
|---|---|---|
2003 | EMO | divide and conquer,proof of principle |
Field | DocType | Citations |
Mathematical optimization,Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robin C. Purshouse | 1 | 628 | 30.00 |
| Peter J. Fleming | 2 | 3023 | 475.23 |