关键词:量子进化算法;多峰函数优化;免疚算子;交又变异 [gap=1543]Key words; Quantum evolutionary algorithm; Multi- modal function optimization; Immune operator; Cross-mutation
基于10个网页-相关网页
多峰值函数优化 multimodal function optimization
As a novel evolutionary computing technique,differential evolution (DE) is simple and effective,which has already been applied succesively to many areas such as multimodal function optimization,neural network learning,digital filter design,multi_objective optimization and so on.
作为一种简单而有效的新兴计算技术,差分演化算法(DE)已受到学术界和工程界的广泛关注,并且已经在多峰函数优化,数据过滤,多目标优化等十九个大方向上取得了许多成功应用。
参考来源 - 针对多目标优化的混和差分演化算法·2,447,543篇论文数据，部分数据来源于NoteExpress
求解带约束的多峰函数优化问题在科学研究和工程应用中具有重要的现实意义。
Solving multi -modal function optimization problems with constraints has an important practical meaning in scientific re-searches and engineering applications.
该算法比上述两种算法具有更好的性能，特别是对多峰函数优化等问题计算效果更好。
It is proved that this proposed algorithm outperforms the two algorithms proviously referenced and has better results for multi-modal functions in particular.
针对多峰函数优化问题，借鉴粒子群优化特性和免疫网络理论，提出一种免疫粒子群网络算法。
Referred to the character of particle swarm optimization and immune network theory, an immune particle swarm network algorithm for multimodal function optimization is proposed.
应用推荐