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针对模糊模拟在模糊优化问题中存在的计算量大、易收敛到次优解等缺点， 将实数遗传算法与模糊模拟相结合， 提出一种基于模糊模拟实数遗传算法的优化算法。该算法充分利用了实数遗传算法的全局搜索能力和鲁棒性强等优点，从而能较快地得到最优解或准最优解。仿真实例表明了该算法的有效性。
Aiming at the shortcomings of fuzzy simulation in fuzzy optimization problems, such as large amount of calculation and easy convergence to sub-optimal solution, a real-world genetic algorithm and fuzzy simulation are combined to propose an optimization algorithm based on fuzzy simulated real-number genetic algorithm. The algorithm makes full use of the advantages of global search ability and robustness of real-valued genetic algorithm, which can get the optimal solution or quasi-optimal solution quickly. Simulation examples show the effectiveness of the algorithm.