机译:基于多策略的正交设计粒子群优化算法进行数值优化
Shenzhen Univ, Dept Management Sci, Shenzhen, Peoples R China|Res Inst Business Analyt & Supply Chain Managemen, Shenzhen, Peoples R China|Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China;
Univ Nottingham Ningbo, Div Comp Sci, Ningbo, Peoples R China|Univ Nottingham Ningbo, Int Doctoral Innovat Ctr, Ningbo, Peoples R China;
Shenzhen Univ, Dept Management Sci, Shenzhen, Peoples R China|Res Inst Business Analyt & Supply Chain Managemen, Shenzhen, Peoples R China;
Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China;
Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou, Peoples R China;
Global optimization; Learning strategy; Opposition-based learning; Orthogonal design; Particle swarm optimization; Economic load dispatch problems;
机译:具有均匀搜索范围的电力电子电路设计优化:具有预测解决方案策略的正交学习粒子群优化方法
机译:具有全局优化切换学习策略的正交排列粒子群优化器
机译:用于大规模数值优化和工程设计问题的修改粒子群优化
机译:具有正交学习的多群粒子群优化算法,用于在动态环境中定位和跟踪多重优化
机译:基于文化的粒子群优化框架,用于约束动态多目标优化。
机译:基于粒子群优化和双重优化策略的随机矢量功能链路网络改进集成。
机译:用于全局数值优化的带粒子群优化策略的细菌觅食优化算法