化工学报Issue(12)：4857-4865,9.DOI:10.3969/j.issn.0438-1157.2014.12.029
融合差分进化算法的AEA算法及其在参数估计中的应用
AEA combined with differential evolution and its application on parameter estimation
摘要
Abstract
Focusing on the demerits of AEA (Alopex-based evolutionary algorithm), this paper proposed a modified AEA algorithm (MAEA), which was fused AEA with differential evolution (DE). In order to enhance the performance of the algorithm, the generation method of population in AEA was improved by applying an improved DE operation to AEA. The modified algorithm not only takes advantage of heuristic search and deterministic search of AEA, but also increases the population diversity and is adapted to global search and local search. Then the MAEA algorithm was tested by 21 benchmark functions,the results show that MAEA outperforms DE, MDE and AEA. Further comparison results between MAEA algorithm and a representative state-of-the-art algorithm(ISDEMS) indicate that, the performance of the modified algorithm is significantly improved, in both accuracy and stability. Furthermore, the algorithm was applied to the parameter estimation of the models of fermentation dynamics, and the satisfactory results were obtained.关键词
Alopex/AEA/差分进化算法/优化/参数估计Key words
Alopex/AEA/differential evolution/optimization/parameter estimation分类
信息技术与安全科学引用本文复制引用
何鹏飞,李绍军..融合差分进化算法的AEA算法及其在参数估计中的应用[J].化工学报,2014,(12):4857-4865,9.基金项目
国家自然科学基金项目(21176072)。@@@@supported by the National Natural Science Foundation of China (21176072) （21176072）
