著者

Tadahiko MURATA Takuya HARADA Daiki MASUI

出版者

The Society of Instrument and Control Engineers

雑誌

SICE Journal of Control, Measurement, and System Integration (ISSN:18824889)

巻号頁・発行日

vol.10, no.6, pp.513-519, 2017 (Released:2017-12-17)

参考文献数

20

被引用文献数

1 9

---

In this paper, we modify a synthetic reconstruction (SR) method without samples. The synthetic reconstruction method is a method to generate attributes of population such as age, sex and kinship within a family according to available statistics. Although the original SR method employs some individual samples that are collected to make a statistics, it is criticized that generated attributes are only within the samples used in the reconstruction process. In this paper, we employ a simulated annealing-based SR method without samples. We compare two types of generation methods of a candidate solution in a search of simulated annealing: changing age of an agent (age-change) or swapping ages of two agents (age-swap). Results of synthetic reconstruction show that age-change is better when we limit the number of search. On the other hand, age-swap is better when we have enough number of search for reconstructing a population.