Optim Cell: ultra-fast spatial optimization algorithm

TOULOUSE TECH TRANSFER



30 Octobre 2015

Partager sur facebook Partager sur twitter Partager sur linkedin Partager sur google+

Fields

NICT

Sectors

Environment & Construction

DESCRIPTION

  • Optimize spatial positioning of elements
  • Based on biomimetic/genetic machine learning techniques
  • Single or multi-objectives algorithm
  • The system first learns the best behaviors based on business rules
  • Once in operation, it provides recommendations for the next “best move” depending on the actual context
  • Recommendations are updated in real-time depending on the context evolution: new constraints, human decisions, etc.

 

APPLICATIONS

  • Decision-support systems in uncertain environments
  • Civil security
  • Military
  • Repair services
  • Logistics, production
  • Allocation of datacenter servers

 

Download the offer Download the offer

Newsletter