Performance comparison of inertia weight and acceleration coefficients of BPSO in the context of high-utility itemset mining
One of the best performing methods in high-utility itemsets mining is based on binary particle
swarm optimization. This paper aims to improve the quality of that method by finding ways to …
swarm optimization. This paper aims to improve the quality of that method by finding ways to …
Global minimization of multi-funnel functions using particle swarm optimization
M Salahi, A Jamalian, A Taati - Neural Computing and Applications, 2013 - Springer
In this paper, we consider the problem of finding the global minimum of multi-funnel-shaped
functions with many local minima, which is a well-known and interesting problem in …
functions with many local minima, which is a well-known and interesting problem in …
[图书][B] Contribución a los métodos de optimización basados en procesos naturales y su aplicación a la medida de antenas en campo próximo
JR Pérez López - 2007 - repositorio.unican.es
Durante la última década, los métodos de optimización heurísticos basados en imitar a nivel
computacional procesos naturales, biológicos, sociales o culturales, han despertado el …
computacional procesos naturales, biológicos, sociales o culturales, han despertado el …
粒子群算法在贷款组合优化决策中的应用
马慧民， 叶春明 - 计算机工程与应用, 2006 - cqvip.com
针对贷款组合优化决策模型的求解问题, 论文提出了用于求解该问题的二进制粒子群算法,
并阐明了算法的具体实现过程. 为了加快粒子群算法的收敛速度, 论文在传统粒子群算法中引入 …
并阐明了算法的具体实现过程. 为了加快粒子群算法的收敛速度, 论文在传统粒子群算法中引入 …
求解单级多资源约束生产批量计划问题的免疫遗传算法
马佳， 高立群， 李丹， 刘佳 - 东北大学学报(自然科学版), 2007 - xuebao.neu.edu.cn
通过对单级多资源约束生产批量计划问题(SLCLSP) 模型进行分析, 提出了基于免疫遗传算法(
IGA) 求解该问题的方法. 此算法在保留基本遗传算法(SGA) 随机全局搜索能力的基础上 …
IGA) 求解该问题的方法. 此算法在保留基本遗传算法(SGA) 随机全局搜索能力的基础上 …
Protein-protein interaction network prediction using stochastic learning automata induced differential evolution
Protein-protein interactions (PPIs) are of biological interest for their active participation in
coordinating a number of cellular processes in living organisms. This paper attempts to …
coordinating a number of cellular processes in living organisms. This paper attempts to …
The optimization of DNA encodings based on modified PSO/GA algorithm
G Cui, X Li - 2010 International Conference On Computer …, 2010 - ieeexplore.ieee.org
The design of DNA sequence is important in improving the reliability of DNA computing. In
order to find better DNA coding sequence, some appropriate constrained terms that DNA …
order to find better DNA coding sequence, some appropriate constrained terms that DNA …
Feature selection method with proportionate fitness based binary particle swarm optimization
Z Zhou, X Liu, P Li, L Shang - … 2014, Dunedin, New Zealand, December 15 …, 2014 - Springer
Particle swarm optimization (PSO) has been applied on feature selection with improved
results. Traditional PSO methods have some drawbacks when dealing with binary space …
results. Traditional PSO methods have some drawbacks when dealing with binary space …
冷轧生产批量计划与调度问题模型及算法
李铁克， 施灿涛 - 管理学报, 2008 - cqvip.com
对冷轧生产系统特点进行分析, 将冷轧生产批量计划与调度问题抽象为多阶段,
多品种带有中间库的批量计划与调度问题. 针对该问题建立了数学模型, 通过对库存成本和调整 …
多品种带有中间库的批量计划与调度问题. 针对该问题建立了数学模型, 通过对库存成本和调整 …
基于综合优化方法的风力发电机故障诊断
焦斌， 徐志翔 - 控制工程, 2012 - cqvip.com
支持向量机(SVM) 一种新型的统计学习方法. 但是作为分类算法, 它存在计算量大,
运行时间长的缺点. 针对LSSVM 的参数选择问题, 引入物理学中的黑洞概念, 建立黑洞模型 …
运行时间长的缺点. 针对LSSVM 的参数选择问题, 引入物理学中的黑洞概念, 建立黑洞模型 …