CGI's Operational Research is concerned with decision-making in the design and management of systems (products, services, organizations, processes). These are increasingly complex, changing and interacting.
The aim of Operational Research is to (1) promote a scientific momentum through: comparison and adaptation of algorithms, mixed methods, evaluation of heuristics, construction of theories, etc. and (2) to imagine situations in each of the areas of applied research in order to facilitate/favor the construction of projects.
Different research avenues are identified such as:
- Taking into account sustainability through adapted planning models and heuristics. This line of work aims to integrate into our optimization and simulation approaches, the dimensions of sustainability (economic, social and environmental) sought by society.
- The search for optimized solutions, in interaction with the users and integrating their preferences. This research work should make it possible to improve the relevance of the results of optimization methods.
- Continuous and multidimensional assessment for the resilience of interconnected systems. This line of research aims at reducing the consequences of events with regard to several criteria so as to enable them to regain their ability to function.
Operational Research: model, methods and tools
This discipline proposes models, methods and tools to understand the combinatorics of classical problems, considering both their dynamic character and the notions of risk and uncertainty.
The unit focuses mainly on the notion of optimization (mainly combinatorial) through four methods:
Greedy algorithms, evolutionary meta-heuristics, ...
Exact methods oriented to satisfy constraints
CSP, COP, ASP, ...
Simulation through the development of the notion of digital double or twin