摘要
介绍了求解多极值问题的分配区间型进化算法,并通过大量仿真,与基于免疫的遗传算法的结果进行了比较,验证了算法在求解各种复杂的全局多极值问题时的高有效性,并探讨了进化算法的参数选择原则。最后,通过在舰船耐波性优选中的成功应用,表明该算法有助于提高舰船在高海情条件下的安全和作业效率。
A niche evolutionary algorithm is introduced to solve multi-model functions. The numerical tests demonstrate the effectiveness of this algorithm by comparing results with that of genetic algorithm based on immune operator. The principal for parameters selection of this algorithm is also discussed. Successful application in seakeeping optimal selection shows that this algorithm is helpful for improving ship safety and operation efficiency in rough sea.
出处
《系统仿真学报》
CAS
CSCD
2004年第9期1935-1937,共3页
Journal of System Simulation
基金
海军科研项目([2002]装办字第 135 号)资助
关键词
最优化
多峰性函数
进化算法
耐波性优选
optimization
multimodel function
evolutionary algorithm
seakeeping