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contributor authorD. E. Grierson
contributor authorS. Khajehpour
date accessioned2017-05-08T21:12:58Z
date available2017-05-08T21:12:58Z
date copyrightApril 2002
date issued2002
identifier other%28asce%290887-3801%282002%2916%3A2%2883%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43095
description abstractThe 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.
publisherAmerican Society of Civil Engineers
titleMethod for Conceptual Design Applied to Office Buildings
typeJournal Paper
journal volume16
journal issue2
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)0887-3801(2002)16:2(83)
treeJournal of Computing in Civil Engineering:;2002:;Volume ( 016 ):;issue: 002
contenttypeFulltext


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