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Optimization of Construction Schedules with Discrete-Event Simulation Using an Optimization Framework
The efficient execution of complex construction projects requires comprehensive construction scheduling. It is necessary to consider various dependencies and restrictions as well as the availability of required resources. The generation of efficient schedules is a very challenging task, which results in a NP- hard optimization problem. In this paper an approach is presented to determine efficient construction schedules by linking discrete-event simulation with an optimization framework. This enables the application of various metaheuristics to the scheduling problem. Thus, efficient schedules for complex construction scheduling problems can be determined in a relatively short amount of time. An example of implementation is presented to validate the optimization concept using Evolutionary Algorithms.
Optimization of Construction Schedules with Discrete-Event Simulation Using an Optimization Framework
The efficient execution of complex construction projects requires comprehensive construction scheduling. It is necessary to consider various dependencies and restrictions as well as the availability of required resources. The generation of efficient schedules is a very challenging task, which results in a NP- hard optimization problem. In this paper an approach is presented to determine efficient construction schedules by linking discrete-event simulation with an optimization framework. This enables the application of various metaheuristics to the scheduling problem. Thus, efficient schedules for complex construction scheduling problems can be determined in a relatively short amount of time. An example of implementation is presented to validate the optimization concept using Evolutionary Algorithms.
Optimization of Construction Schedules with Discrete-Event Simulation Using an Optimization Framework
Hamm, M. (author) / Szczesny, K. (author) / Nguyen, V. V. (author) / König, M. (author)
International Workshop on Computing in Civil Engineering 2011 ; 2011 ; Miami, Florida, United States
Computing in Civil Engineering (2011) ; 682-689
2011-06-16
Conference paper
Electronic Resource
English
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