2001
DOI: 10.1016/s0263-7863(99)00035-6
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A GA-based fuzzy optimal model for construction time–cost trade-off

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Cited by 159 publications
(65 citation statements)
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“…For the owner, the delay in the completion of the project work will caused losses to the operating time of the results of the project, so that the use of the results of the development project was delayed. During project implementation, there are many uncertainty variables that dynamically affect duration of activity, and hence cost (Leu et al, 2001). Many uncertainties associated with international construction arise from differences in culture, economic conditions, specifications or standards, legal frameworks, and productivity levels (Dikmen&Birgonul, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…For the owner, the delay in the completion of the project work will caused losses to the operating time of the results of the project, so that the use of the results of the development project was delayed. During project implementation, there are many uncertainty variables that dynamically affect duration of activity, and hence cost (Leu et al, 2001). Many uncertainties associated with international construction arise from differences in culture, economic conditions, specifications or standards, legal frameworks, and productivity levels (Dikmen&Birgonul, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…For this case, the activity durations may be described by fuzzy variables. The first work on the fuzzy TCTP was done by Leu et al [16]. Jin et al [17] gave a genetic algorithm (GA)-based fully fuzzy optimal time-cost tradeoff model, in which all parameters and variables were characterized by fuzzy numbers and an example in ship building scheduling was demonstrated.…”
Section: Introductionmentioning
confidence: 99%
“…Metaheuristics such as genetic algorithms were exploited in solving this problem by Feng et al (1997) and Chua et al (1997). Leu et al (2001) introduced uncertainty issues in their approach by using fuzzy numbers to represent possible activity durations. This idea was formerly researched by several authors, for example Chanas and Kamburowski (1981) and Hapke and Słowiński (1996).…”
Section: Introductionmentioning
confidence: 99%