摘要
传统的遗传算法存在早熟收敛的缺点，不善于高精度的局部微调。为此，提出了一种与局部微调方法相结合的遗传算法。算例表明，它是有效的、稳健的，在水科学优化问题中具有广泛的应用价值。
The genetic algorithms are known to be efficient for global optimizing. They are, however, prone to premature convergence and not well suited to perform finely tuned local searches. This paper suggests combining a genetic based algorithm with a simple heuristic local tuning method to improve the efficiency of optimization. The case study shows that the procedure is efficient, robust and practical.
出处
《水科学进展》
EI
CAS
CSCD
北大核心
1999年第2期150-154,共5页
Advances in Water Science
基金
国家自然科学基金
