Multi-objective optimization of CLT-concrete composite floor using NSGA-II algorithm

Cross-laminated timber (CLT) is an engineered wood product made of multiple glued layers in the form of a panel. Each CLT layer oriented perpendicular to the adjacent one. This type of structural element is particularly suitable for the application of a floor system. CLT-concrete composite (CCC) could be a solution for a long-span floor system of the mid-and high-rise building. This study focused on multi-objective optimization of the CCC floor using the genetic algorithm (NSGA-II). The three optimization objectives were to minimize total thickness, total weight, and total material cost taking into account structural, vibration comfort, and thermal constraints. Solutions are presented in the form of a Pareto front of 8 m and 10 m floor spans.