2016
DOI: 10.1007/s00163-016-0225-4
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Development of a new multi-criteria optimization method for engineering design problems

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Cited by 9 publications
(2 citation statements)
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“…The cross-shaped I-steel is the main stress component of the foundation in this paper, and its design quality is directly related to the safety and economy of the tower crane. This section, with the ratio of the web plate area to the total section area of the I-steel as the design variable, intends to combine the optimization design of bridge crane and gantry crane steel [17,21] as well as engineering optimization method [22][23][24][25][26][27][28][29][30] to optimize the moment of inertia (I) and bending modulus (W) of the I-steel under the constraints of total steel plate consumption and…”
Section: Optimization Designmentioning
confidence: 99%
“…The cross-shaped I-steel is the main stress component of the foundation in this paper, and its design quality is directly related to the safety and economy of the tower crane. This section, with the ratio of the web plate area to the total section area of the I-steel as the design variable, intends to combine the optimization design of bridge crane and gantry crane steel [17,21] as well as engineering optimization method [22][23][24][25][26][27][28][29][30] to optimize the moment of inertia (I) and bending modulus (W) of the I-steel under the constraints of total steel plate consumption and…”
Section: Optimization Designmentioning
confidence: 99%
“…Thus, for each combination of factor levels, five TOPSIS scores are calculated at five replications while taking a different criteria weight set for each replication. For the development of the criteria weight sets, a ten-point scale is considered where 1 = very unimportant, 3 = unimportant, 5 = average, 7 = important, 9 = very important and 10 = extremely important (İç, 2012; Wang et al , 2013; İç, 2016; Chatterjee and Chakraborty, 2017; Wang et al , 2017). A higher weight automatically provides more importance to a specific criterion.…”
Section: Development Of the Meta-modelsmentioning
confidence: 99%