Evaluating the contingencies created by schedule compression and delays due to unforeseen material shortages. networks were analyzed using three methods: manual critical path method scheduling calculations, primavera project management software p5 , and mathemati-cal models using the optimization programming language software.. This paper presents the development of smart optimization model in order to support the balance between time, cost and quality simultaneously for mega construction projects. the model was designed to search for the optimal resource utilization plans that minimize construction time and cost while maximizing its quality, and also to make. The particle swarm optimization (pso)-based approach to resolve the resource-constrained project scheduling problem with the objective of minimizing project duration is introduced in this paper. computational analyses are provided so as to investigate the performance of the pso-based approach for the resource-constrained project scheduling problem..
Keywords: scheduling, simulation-based optimization, constraint-satisfaction, simulated annealing 1 introduction the specification of efficient schedules for complex construction projects is a very challenging task. due to the multitude of construction tasks, the presence of different, partly contrary objectives like. The construction process of high arch dams is extremely com-plicated. therefore, optimization of the construction schedule is essential for construction management to save a large amount of time. Figure 1: simulation-based optimization approach for construction scheduling problems. 3 problem description the topic of this paper is the generation of efficient schedules for complex construction projects. a valid construction schedule defines the start and finish of every construction activity under consideration re-.
