Comput. Sci. Dept., Univ. of Birmingham, Birmingham, UK;
Pareto optimisation; data mining; particle swarm optimisation; search problems; cluster centroids; data clustering; data mining; multiple objectives; pareto based multiobjective optimization problem; pattern recognition; quantum behaved particle swarm optimization; search process; Algorithm design and analysis; Clustering algorithms; Equations; Optimization; Particle swarm optimization; Partitioning algorithms; Search problems; F-measure; clustering; multi objective optimization; quantum behaved particle swarm optimi;
机译:基于改进的量子行为粒子群优化算法的聚类基因表达数据分析
机译:通过多目标量子行为粒子群优化算法模拟和优化激光覆层
机译:用于复合结构多目标设计的量子行为粒子群算法(QPSO)
机译:多个目标数据聚类的量子表现粒子群优化
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:基于量子行为粒子群算法的群体优化遗传算法
机译:多目标数据聚类的量子行为粒子群优化算法