poster

Social Specialization of Space: Clustering Households on the French Riviera

Authors:

Denis Pallez,

Mathieu Serrurier,

C�lia da Costa Pereira,

Giovanni Fusco,

Cristina CaoAuthors Info & Claims

GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

Pages 1447 - 1448

https://doi.org/10.1145/2739482.2764665

Published: 11 July 2015 Publication History

Get Access

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.

References

[1]

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: Nsga-ii. Evolutionary Computation, IEEE Transactions on, 6(2):182--197, Apr 2002.

Digital Library

Google Scholar

[2]

Otis Dudley Duncan and Beverly Duncan. A methodological analysis of segregation indexes. American Sociological Review, 20(2):pp. 210--217, 1955.

Crossref

Google Scholar

[3]

E.R. Hruschka, R.J.G.B. Campello, A.A. Freitas, and A.C.P.L.F. de Carvalho. A survey of evolutionary algorithms for clustering. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 39(2):133--155, March 2009.

Digital Library

Google Scholar

[4]

S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220:671--680, 1983.

Crossref

Google Scholar

Index Terms

Social Specialization of Space: Clustering Households on the French Riviera

Recommendations

The comparative analysis of urban development in two geographic regions: the state of rio de janeiro and the campania region
ICCSA'12: Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II

In this paper we verify the possibility of implementing a regional comparative analysis between two systems, the State of Rio de Janeiro and the Campania Region. Primarily, we defined the boundaries of analysis area. Then, we will provide a comparison ...
Evolutionary multi criteria design optimization of robot grippers

This paper explores the use of intelligent techniques to obtain optimum geometrical dimensions of a robot gripper. The optimization problem considered is a non-linear, complex, multi-constraint and multicriterion one. Three robot gripper configurations ...
A stochastic multi-objective optimization method for railways scheduling: a NSGA-II-based hybrid approach
Abstract
Optimizing resource utilization and train scheduling is essential to satisfy passengers and reduce operating costs. This study develops the train schedule under scenario-oriented stochastic conditions. The proposed approach is a multi-objective ...

Comments

Information & Contributors

Information

Published In

GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

July 2015

1568 pages

ISBN:9781450334884

DOI:10.1145/2739482

Editor:
Sara Silva
Universidade de Lisboa, Portugal
,
General Chair:
Anna I. Esparcia-Alc�zar
Universitat Polit�cnica de Val�ncia, Spain

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 July 2015

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Universit� Nice Sophia-Antipolis
Institut de Recherche en Informatique de Toulouse
Centre National de la Recherche Scientifique

Conference

GECCO '15

Sponsor:

SIGEVO

GECCO '15: Genetic and Evolutionary Computation Conference

July 11 - 15, 2015

Madrid, Spain

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
45
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Index Terms

Recommendations

The comparative analysis of urban development in two geographic regions: the state of rio de janeiro and the campania region

Evolutionary multi criteria design optimization of robot grippers

A stochastic multi-objective optimization method for railways scheduling: a NSGA-II-based hybrid approach