| contributor author | D. E. Grierson | |
| contributor author | S. Khajehpour | |
| date accessioned | 2017-05-08T21:12:58Z | |
| date available | 2017-05-08T21:12:58Z | |
| date copyright | April 2002 | |
| date issued | 2002 | |
| identifier other | %28asce%290887-3801%282002%2916%3A2%2883%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43095 | |
| description abstract | The paper presents a computer-based method for the multicriteria conceptual design of engineered artifacts. The proposed method involves genetic-based stochastic search, Pareto optimization, and color-filtered graphics. A multicriteria genetic algorithm broadly searches the governing body of design knowledge and identifies Pareto designs that are equal-rank optimal in the sense that each is not simultaneously dominated for all objective criteria by any other feasible design. Computer color filtering of the Pareto-optimal design set creates informative graphics that identify trade-off relationships between competing objective criteria, as well as design subsets having particular designer-specified attributes. Much of the paper is devoted to presenting a detailed illustration of the method for the cost-revenue conceptual design of high-rise office buildings, including several examples. | |
| publisher | American Society of Civil Engineers | |
| title | Method for Conceptual Design Applied to Office Buildings | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2002)16:2(83) | |
| tree | Journal of Computing in Civil Engineering:;2002:;Volume ( 016 ):;issue: 002 | |
| contenttype | Fulltext | |