Resource allocation and deployment is a ubiquitous logistics optimization problem, e.g. in delivery services, industrial production, and business management. We describe a bioinspired optimization system for allocating resources, based on Gene Regulatory Networks (GRNs)(see (Disset et al.(2017)) for details). Specifically, our system allocates intervention teams to be deployed during catastrophic cli- matic events to sites with failures in an electrical distribution grid covering 17000 km 2 . Our work is concerned with the minimization of the breakdown time for the users of the power grid. Here, we describe our system, including the allocation problem, the choice of GRN as control system and its optimization with an Evolutionary Algorithm (EA), and a test scenario of the deployment of teams to repair failures during a heavy storm.