longbiscuit / CEC2017-8-
CEC2017测试集测试了模拟退火(SA)算法、状态转移(STA)算法、实数编码遗传(RCGA)算法、差分进化(DE)算法、免疫(IA)算法、粒子群(PSO)算法、蚁群(ACO)算法和多种自适应策略粒子群(MAPSO)算法
☆31Updated 2 years ago
Alternatives and similar repositories for CEC2017-8-:
Users that are interested in CEC2017-8- are comparing it to the libraries listed below
- MOPSO及pso可编译运行matlab源码,及相关论文资源☆150Updated 4 years ago
- 论文“增强型白骨顶鸡优化算法及其应用”的代码,实验与COA、PSO、WOA、BOA、AEO、HHO、AVOA七种群智能算法进行比较☆19Updated 8 months ago
- 这是一个带约束条件的非支配排序遗传算法NSGA-II,解决了一个多目标优化问题☆108Updated last year
- The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.☆67Updated 5 years ago
- A data prediction neural network model optimized with genetic algorithm//遗传算法优化的预测模型☆18Updated 7 years ago
- 使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.☆99Updated 4 years ago
- 麻雀,鲸鱼,正余弦,北方苍鹰,遗传,粒子群,灰狼,蜻蜓,蝗虫,多元宇宙等优化算法.