Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction.

Deconstruction waste represents a significant proportion of worldwide waste. Recovery is broadly underexploited due to the scant management of waste flows from building and dismantling sites, despite public policies promoting it. The study aims to model and optimize the diverse flows of materials emanating from dismantling operations for better reuse or, failing that, better recycling. At the top of the simulation, metaheuristics allow optimizing the actors' decisions using a hybrid approach, solving and evaluating a complex scheduling problem. Experiments are carried out on simulated datasets stemming from real-based data. The first outcomes outline the potential of the proposed hybrid method.