Journal
INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS
Volume 18, Issue 2, Pages 135-145Publisher
KOREAN INST INTELLIGENT SYSTEMS
DOI: 10.5391/IJFIS.2018.18.2.135
Keywords
Public rental house; Optimal investment scheduling; Sustainable housing; Genetic algorithm
Categories
Funding
- Ministry of Science and ICT, Korea, under the Information Technology Research Center support program [IITP-2018-2017-0-01630]
Ask authors/readers for more resources
Declining birthrate is a serious problem that threatens the sustainability of Korean society. The main cause of this phenomenon is high living cost where housing cost accounts for the majority in household expenditure. South Korea has a very low supply rate in public rental housing when compared to other OECD countries. Because young people cannot afford to buy or lease a house for their new houses, some of them postpone or even give up marriage. As a countermeasure, Gyeonggi Province (surrounding area of Seoul) recently announced the supplying plan of 10,000 public rental houses by 2020. We expect this measure to alleviate the low birthrate problem and increase the demographic sustainability of the province. This study optimizes multi-annual investment scheduling for rental housing projects using genetic algorithm while satisfying the constraints such as budget, human resources, regional balance, etc. Through the optimal investment scheduling, we hope that public corporation will supply public rental houses more efficiently and more sustainably for the community.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available