基于模拟退火的混合差分演化算法研究

Study of hybrid differential evolution based on simulated annealing

介绍了一种求解函数优化问题的新策略——差分演化算法,与其它算法相比,该算法具有稳健性强,收敛速度快的优点;同时,把模拟退火策略融入到差分演化的过程中,提出了一个混合演化算法——基于模拟退火的混合差分演化算法,实验表明混合后的算法比单一的差分演化算法更稳健,收敛速度也略有提高。

Differential evolution algorithm for the function optimization problems is introduced. The algorithm is much more robust and quicker in convergence than other evolution algorithms. At the same time, a new algorithm, hybrid differential evolution algorithm based on simulated annealing, is designed and tested by several nonlinear function optimization. The results indicated the proposed al- gorithm improve the efficiency of differential evolution algorithm and much more robust than simply differential evolution.