一种较ACO、ABC算法优越的 PSOclustering-a particle swarm optimization approach to clustering

a novel fitness function for utilization for images segmentation using a metaheuristic method (GA, pso, sfla, aco...)

this work aims to investigate the quality of software products a n important attribute of computer programs it helps to decide the degree of trustworthiness a program has in accomplishing its specific functions. This done using the Software quality m

近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an