Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment
By Wu Deng, Huimin Zhao, Xinhua Yang, Juxia Xiong, Meng Sun, Bo Li. Applied Soft Computing, 2017
358 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/4a7fba112a6a0fbd4d6841f489050cc55a93fcfe
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In Computer Vision and Pattern Recognition
In Industrial and Manufacturing Engineering
Citations in the corpus
- A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm (2017, background): “…motor bearing, many experts and researchers have proposed a lot of different fault diagnosis methods (Wang et al. 2008; Ahmadi and Shadizadeh 2012; Deng et al. 2017a;Bae2016;Zhaoetal.2011;Dengetal.2017b),suchas wavelet analysis, expert system, empirical mode decomposition method, genetic…”
- A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems (2021, background): “…[29]; MOEA/D [30]; multi-objective memetic algorithm [31]–[34]; water wave optimization [35]; modified particle swarm optimization (PSO) [36], [37]; multi-objective hybrid immune algorithm [38]; GA [39]; grey wolf optimization [40]; cooperative swarm intelligence algo-rithm for MODOP [41];…”
- An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem (2019, background): “Gate assignment problem is a combinatorial optimization problemwith multi-objective properties [71]–[73].”