Comparação de Desempenho dos Algoritmos PSO e DE na Otimização de um Riser em Configuração
Victor Q. Alves1; Bruno F. Monteiro2; Carl H. Albrecht2
1 Federal University of Rio de Janeiro; 2 Post-Graduate Institute of the Federal University of Rio de Janeiro
doi:10.20906/CPS/CILAMCE2017-0791
Resumo
Offshore Risers are a fundamental part of deepwater and ultra-deepwater oil production systems, as they are the connection between the subsea field developments and production facilities. The design of such structures requires a complex balance of safety and cost factors, motivating the use of optimization techniques. In this context, this work analyses the performance of the Particle Swam Optimization (PSO) and Differential Evolution (DE) algorithms for the optimization of an offshore Riser in Lazy-Wave Configuration. The algorithms and their enhancements are briefly described and a parametric analysis is carried out to tune them for the riser optimization problem. Finally, both algorithms are compared considering convergence speed and best solution found. The results show that PSO has a better convergence speed while DE yields slightly better solutions.
Palavras-chave: PSO; DE; Risers; Offshore Systems; Optimization