Genetic algorithm-based multi-objective model for scheduling of linear construction projects

Abstract

This paper presents a genetic algorithm-based multi-objective optimization model for the scheduling of linear construction projects. The model allows construction planners to generate and evaluate optimal/near-optimal construction scheduling plans that minimize both project time and cost. The computations in the present model are organized in three major modules. A scheduling module that develops practical schedules for linear construction projects. A cost module that computes the project's costs. A multi-objective module that searches for and identifies optimal/near-optimal tradeoffs between project time and cost. An application example is analyzed to illustrate the use of the model and to demonstrate its capabilities in optimizing the scheduling of linear construction projects.