A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-014-0970-z
Abstract: In this study, the design of a two-echelon distribution supply chain network for the seasonal products with multiple vendors (manufacturers) and buyers (retailers), and a set of warehouses for each vendor are considered. The locations… read more here.
Keywords: chain network; swarm optimization; two echelon; particle swarm ... See more keywords
A coordinated traffic control on urban expressways with modified particle swarm optimization
Sign Up to like & getrecommendations! Published in 2017 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-1505-x
Abstract: A coordinated traffic control method on urban expressways is proposed, which combines ramp control and Variable Speed Limits (VSL). A modified Particle Swarm Optimization (PSO) algorithm is presented to implement the coordinated control. We employ… read more here.
Keywords: traffic; coordinated traffic; control; traffic control ... See more keywords
A new model of flavonoids affinity towards P-glycoprotein: genetic algorithm-support vector machine with features selected by a modified particle swarm optimization algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Archives of Pharmacal Research"
DOI: 10.1007/s12272-016-0876-8
Abstract: Flavonoids exhibit a high affinity for the purified cytosolic NBD (C-terminal nucleotide-binding domain) of P-glycoprotein (P-gp). To explore the affinity of flavonoids for P-gp, quantitative structure–activity relationship (QSAR) models were developed using support vector machines… read more here.
Keywords: algorithm; validation; support vector; affinity ... See more keywords
A modified particle swarm optimization algorithm based on velocity updating mechanism
Sign Up to like & getrecommendations! Published in 2019 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2019.02.006
Abstract: Abstract Due to less parameters and simple operations in PSO, PSO has attracted the attention of many researchers. However, it amy fall into local optimum and the search precision is not high. Therefore, this paper… read more here.
Keywords: optimization algorithm; modified particle; particle swarm; swarm optimization ... See more keywords
Modified Particle Swarm Optimization With Effective Guides
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DOI: 10.1109/access.2020.3030950
Abstract: Despite of its simplicity, the conventional learning strategy of canonical particle swarm optimization (PSO) is inefficient to handle complex optimization problems due to its tendency of overemphasizing the fitness information of global best position without… read more here.
Keywords: swarm; modified particle; swarm optimization; particle swarm ... See more keywords
Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161459
Abstract: Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of the closed-loop system and the… read more here.
Keywords: sis; modified particle; attack; estimation ... See more keywords
MPSUBoost: A Modified Particle Stacking Undersampling Boosting Method
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DOI: 10.1109/access.2022.3225456
Abstract: Class imbalance problems are prevalent in the real world. In such cases, traditional supervised algorithms tend to have difficulty in recognizing minority data because the models are likely to maximize prediction accuracy by simply ignoring… read more here.
Keywords: class imbalance; modified particle; method; mpsuboost modified ... See more keywords
Fault detection and diagnosis of rotating machinery using modified particle filter
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2017.18078
Abstract: In order to effectively monitor condition and detect fault types of high nonlinear system, and extract the features of system state under strong noise background, this paper proposes a novel fault detection and diagnosis (FDD)… read more here.
Keywords: fault; detection diagnosis; fault detection; particle ... See more keywords