Integration of simulation and Pareto-based optimization for space planning in the finishing phase

In order to improve the flexibility and adaptability of an automated model to various different projects under different circumstances, various solutions should be generated as proposed results, instead of only one solution as in recent research. This paper therefore presents a method for generating a series of reasonably detailed schedules for mapping the workplaces of activities over time. This model incorporates Pareto-based optimization and simulation. The optimization engine takes on the role for generating and choosing good schedules. The simulators, on the other hand, are responsible for manipulating activities to resolve spatial conflicts, to respect the limits of crews and investigate the efficiency of solutions. A prototype implementation is afterwards developed and implemented in software based on Building Information Modeling, which enables the model to automatically retrieve the required geometric data. The output solutions are finally analyzed through an example to prove their feasibility and adaptability to various potential situations.