Skip to Main content Skip to Navigation
Conference papers

Dynamic Resource Allocation in Power Grids using Evolving Gene Regulatory Networks

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [4 references]  Display  Hide  Download
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Wednesday, May 15, 2019 - 3:53:36 PM
Last modification on : Tuesday, September 8, 2020 - 10:38:02 AM


Files produced by the author(s)


  • HAL Id : hal-02130156, version 1
  • OATAO : 22617


Iñaki Fernández Pérez, Pierre André, Sylvain Cussat-Blanc, Alain Berro, Hervé Luga. Dynamic Resource Allocation in Power Grids using Evolving Gene Regulatory Networks. Conference on Artificial Life (ALIFE 2018), Jul 2018, Tokyo, Japan. pp.1-2. ⟨hal-02130156⟩



Record views


Files downloads