Stable marriage and genetic algorithms: A fertile union

Citation
B. Aldershof et Om. Carducci, Stable marriage and genetic algorithms: A fertile union, J HEURISTIC, 5(1), 1999, pp. 29-46
Citations number
24
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
JOURNAL OF HEURISTICS
ISSN journal
13811231 → ACNP
Volume
5
Issue
1
Year of publication
1999
Pages
29 - 46
Database
ISI
SICI code
1381-1231(199904)5:1<29:SMAGAA>2.0.ZU;2-K
Abstract
We describe a pair of genetic algorithms for solving two stable matching pr oblems. Both stable matching problems we will consider involve a set of app licants for positions and a set of employers. Each applicant and each emplo yer prepares a rank order list of a subset of the actors in the other set. The goal is to find an assignment of applicants to employers in which if ap plicant a is not assigned to employer b then either a prefers his assignmen t to b or b prefers its assignment to a. In other words, no applicant/emplo yer pair can both improve their situations by dropping their current assign ments in favor of each other. Our goal will be to enumerate the stable matc hings. One of the problems we will consider is the well-known stable marriage prob lem, in which neither applicant nor employer preference lists are linked. I n the other problem, we will allow pairs of applicants who form a couple to submit joint rank order lists of ordered pairs of employers.