Intelligent optimization method for large-scale steady-state systems with fuzzy parameters
A description of large-scale steady-state systems with fuzzy parameters (LSSFP) is given, and a novel intelligent optimization method (IOMFP) for LSSFP and several theorems about noninferior solution and the convergence of IOMFP are proposed. The effectiveness of IOMFP is illustrated by simulation results for some typical problems. The simulation results show that by using IOMFP the amount of calculation is sharply reduced and human heuristic knowledge is sufficiently applied. Owing to the introduction of an intelligent inference and decision machine in the search process, the applicability of the algorithm is greatly improved.<<ETX>>