Selection of the best possible option when many alternatives are available is vital in decision-making process. In addition, the selection process becomes more complicated when the definition of ‘Best’ option changes with conditions and time – the problem becomes the optimization problem.
With Engineering Analytics, CAPGEMINI P&ES (Product & Engineering Solutions) has developed unique expertise to solve such problems in optimization in diverse fields using various advanced techniques. Several client case studies can be solved using this framework for operations planning, scheduling, and maintenance. The framework provide ready to use evolutionary search algorithms such as Simulated Annealing and Genetic Algorithm. The optimization framework using these evolutionary algorithms proposed by CAPGEMINI is expected to provide high degree of advantages in turnaround time for problems in optimization.
Read more about this optimization framework with the illustrations in the whitepaper, here.