Nation-wide synthetic reconstruction method

Tadahiko Murata, Takuya Harada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we improve a synthetic reconstruction (SR) method without samples to synthesize population of a whole nation by modifying a generation method of the initial population. We modify our Simulated Annealing-based household reconstruction method in three points to reconstruct populations of all prefectures in Japan. We consider more members in each household, the number of males and females in households of "couple, children and a grandparent," and parents of husband and wife in "couples and parents (or a parent)". From the reconstruction results, we can see that parents of both husband and wife should be considered. We can also see that considering the statistics on "unmarried male or female" or the statistics on the number of children in "couple, children and grandparents" is useful in determining the number of male and female in "couple, children and a grandparent.".

Original languageEnglish
Title of host publication2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538627259
DOIs
Publication statusPublished - 2018 Feb 2
Externally publishedYes
Event2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Honolulu, United States
Duration: 2017 Nov 272017 Dec 1

Publication series

Name2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
Country/TerritoryUnited States
CityHonolulu
Period17/11/2717/12/1

Keywords

  • generation procedure of initial households
  • household reconstruction from statistics
  • nation-wide reconstruction
  • simulated annealing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

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