meanwhile, we use a fast simulation annealing algorithm in the inversion, which can overcome the limitation of the local extremum of objective function, and acquire a global optimum result.
同时,在具体反演中使用快速模拟退火算法,可以克服目标函数局部极值的限制,从而获得全局最优解。
it selects the optimaler number as a global optimum at every circulation, which makes its result be better than both pso and ga, then improves the overall performance of the algorithm.
与其他混合最优化算法不同的是,该算法没有破坏粒子群和遗传算法的独立性,而是仅通过全局最优样本把两个算法结合在一起。
it maintains the serial sequence that the simulated annealing requires, and converges to a global optimum solution. and at the same time, it speeds up the solution…
既确保了模拟退火的串行顺序,使解趋于最优,又缩短了达到最优所需时间,提高了并行计算效率。
it maintains the serial sequence that the simulated annealing requires, and converges to a global optimum solution. and at the same time, it speeds up …
既确保了模拟退火的串行顺序,使解趋于最优,又缩短了达到最优所需时间,提高了并行计算效率。