Name
Abstract | ||
|---|---|---|
The aim of this paper is to estimate the extent of social specialization of residential space within the French Riviera metropolitan area. Unlike classical approaches, where social groups are pre-defined through given characteristics of households, our approach determines clusters of households inductively. Socio-demographic characteristics of households are thus measured through 16 different indicators. Clustering is then carried out through the optimization of two distinct criteria. Simulated annealing, simple and multi-objective Genetic Algorithm were adapted for this purpose and has produced pertinent results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2739482.2764665 | GECCO (Companion) |
Field | DocType | Citations |
Econometrics,Social group,Simulated annealing,Riviera,Computer science,Simulation,Artificial intelligence,Cluster analysis,Metropolitan area,Machine learning,Genetic algorithm | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis Pallez | 1 | 65 | 6.79 |
| Mathieu Serrurier | 2 | 267 | 26.94 |
| Célia Da Costa Pereira | 3 | 198 | 27.06 |
| Giovanni Fusco | 4 | 4 | 2.36 |
| Cristina Cao | 5 | 0 | 0.34 |