摘要
遗传算法和蚁群算法是两种新型的寻优策略,遗传算法用于函数优化问题,蚁群算法用于求解非线形规划问题.建立通过相应的优化模型,并得出了实现的步骤,结果表明遗传算法具有简单、通用、鲁棒性强、适用于并行处理的特点.蚁群算法具有正反馈性、较强的鲁棒性、并行性以及易与其他方法结合的特性.
Genetic algorithm and ant colony algorithm are two new optimization strategies. Genetic algorithm is used to solve the problem of function optimization, while ant colony algorithm is used to solve non linear programming problems. The corresponding optimization model has been founded. The realizing step has been obtained. The result indicates that Genetic algorithm has such virtues as simplicity, generality, good robustness, applicability in parallel processing and so on, and ant colony algorithm has such virtues as positive feedback, good robustness, parallelism, easiness in combination with other algorithms.
出处
《晋中学院学报》
2009年第3期93-96,共4页
Journal of Jinzhong University
关键词
遗传算法
蚁群算法
鲁棒性强
genetic algorithm
ant colony algorithm
good robustness
