Multiobjective Optimization Model of Residential Spatial Distribution | Zendy

Xia Li | Zendy; Chengxiang Zhuge | Zendy; Xiang Zhang | Zendy; Jian Gao | Zendy; Hui Zhang | Zendy

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Multiobjective Optimization Model of Residential Spatial Distribution

Author(s) -

Xia Li,

Chengxiang Zhuge,

Xiang Zhang,

Jian Gao,

Hui Zhang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/167495

Subject(s) - genetic algorithm , aggregate (composite) , mathematical optimization , multi objective optimization , distribution (mathematics) , residence , computer science , balance (ability) , operations research , transport engineering , engineering , mathematics , economics , mathematical analysis , materials science , demographic economics , composite material , medicine , physical medicine and rehabilitation

The concept of jobs-housing balance has been adopted as an effective way to alleviate the traffic congestion, especially in metropolis. A multiobjective model of residential spatial distribution (MOOMRSD) is developed in this paper to address the problem of how to locate the housing in a reasonable way when the workplace location is given. Three objectives are integrated into the MOOMRSD and they are (1) minimizing the average commute cost from residence to workplace; (2) minimizing the total travel time of citizens; and (3) maximizing the aggregate utility and social benefit. In addition, a multiobjective genetic algorithm (MOGA) is proposed to figure out a satisfactory solution to the MOOMRSD. Finally, Both MOOMRSD and MOGA are applied into two cases.

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