机译:基于核模糊聚类和可变信赖域方法的大规模优化协同进化
Dept. of Ocean Remote Sensing, Nat. Marine Environ. Monitoring Center, Dalian, China;
convergence; fuzzy set theory; learning (artificial intelligence); particle swarm optimisation; pattern clustering; search problems; topology; FT-DNPSO; PSO algorithm; convergence process; cooperative coevolution; dynamic neighborhood topology; engineering applications; high-dimensional problems; kernel fuzzy C-means clustering strategy; large-scale optimization; neighbor particles; particle swarm optimization; scientific applications; search spaces; variable trust region learning method; Clustering algorithms; Heuristic algorithms; Kernel; Optimization; Particle swarm optimization; Sociology; Topology; Cooperative coevolution (CC); dynamic neighborhood topology; kernel fuzzy clustering; large scale optimization; particle swarm optimization (PSO); subswarms; trust region;
机译:大规模全局优化中基于公式的变量分组的协同协同进化
机译:基于高斯核模糊聚类和区域主动轮廓模型的超声医学图像混合分割方法
机译:基于核模糊c-均值和混合蚁群优化的连续域心电图心跳聚类新方法
机译:一种基于大规模全球优化问题的协同协会中的分组变量的新方法
机译:具有不精确线性系统的信任区域SQP方法可解决大规模优化问题。
机译:雾计算中基于优化模糊聚类的资源调度方法
机译:基于模糊熵聚类和基于区域的主动轮廓方法的脑MRI分割多目标优化方法