TY - JOUR A2 - Valente, Robertt A. AU - Li, Xia AU - Zhuge, Chengxiang AU - Zhang, Xiang AU - Gao, Jian AU - Zhang, Hui PY - 2014 DA - 2014/07/07 TI - Multiobjective Optimization Model of Residential Spatial Distribution SP - 167495 VL - 2014 AB - 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. SN - 1024-123X UR - https://doi.org/10.1155/2014/167495 DO - 10.1155/2014/167495 JF - Mathematical Problems in Engineering PB - Hindawi Publishing Corporation KW - ER -