Optimization and
Planning
Finding the best solution among millions of possibilities is at the heart of our Optimization and Planning line. At CAOS, we focus on predictive control and the efficient allocation of logistics and business resources. Through evolutionary computation, we automate problem-solving in cases where traditional methods fail due to the enormous complexity of the problem’s ecosystem. Examples include dynamic systems, logistics and route optimization, and problem-solving using evolutionary computation.
Control Predictivo
Mathematical modeling designed to guide complex systems toward optimal states while adhering to physical and temporal constraints.
Computación Evolutiva
Algorithms Inspired by Natural Selection for Solving Extreme Combinatorial Optimization Problems
Optimización Empresarial
Tools designed to minimize costs and maximize service performance in technology companies
Laboratory Milestones
Logistics and Routing: Development of systems that calculate the optimal sequences of actions for fleets of vehicles or robots in warehouses, minimizing time and fuel costs. Applied in various fields, it has an environmental and social impact by reducing pollutant emissions and overall wait times.
Dynamic Systems: Development of algorithms that can dynamically adjust plans on the fly if an unforeseen event occurs (if a road is blocked due to a traffic accident, the system recalculates the affected logistics operations in milliseconds). The main areas of application are industrial, with a focus on ADAS and recommendation systems.
Competitive Intelligence: Developing strategic drivers based on a knowledge transfer model. In technology-based companies in the ICT sector (EBT-TIC), this approach enables the analysis of the business environment, the identification of trends, the reduction of uncertainty, and the alignment of R&D&I efforts with actual market needs.
Real-World Technology Transfer: The group maintains active R&D&I agreements and partnerships with leading technology-based companies (such as GAMCO and Sigma Data Services), integrating these algorithms directly into its commercial production environments and facilitating the use of corporate optimization tools.
«What does it matter if someone who has been right most of the time makes a few mistakes?»
– Pedro Calderón –