Feature selection based on hybridization of genetic algorithm and competitive swarm optimizer
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04628-6
Abstract: Feature selection is one of the hottest machine learning topics in recent years. The main purposes of it are to simplify the original model, improve the readability of the model, and prevent over-fitting by searching… read more here.
Keywords: feature selection; competitive swarm; swarm; algorithm ... See more keywords
Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.112450
Abstract: Abstract Extracting accurate and reliable values for involved unknown parameters of solar photovoltaic (PV) cells/modules is considerably significant to the characteristic analysis, fault diagnosis, maximum power point tracking, and efficiency evaluation of PV systems. Solving… read more here.
Keywords: parameter extraction; solar photovoltaic; competitive swarm; swarm optimizer ... See more keywords
A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3131312
Abstract: Competitive swarm optimizers (CSOs) have shown very promising search efficiency in large-scale decision space. However, they face difficulties when solving large-scale multi-/many-objective optimization problems (LMOPs), as their winner particles are selected by random pairwise competition… read more here.
Keywords: large scale; competition; competitive swarm; search ... See more keywords
Learning Competitive Swarm Optimization
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DOI: 10.3390/e24020283
Abstract: Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population diversity… read more here.
Keywords: competitive swarm; swarm; optimization; particle swarm ... See more keywords
An Asymmetric Chaotic Competitive Swarm Optimization Algorithm for Feature Selection in High-Dimensional Data
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DOI: 10.3390/sym12111782
Abstract: This paper presents a method for feature selection in a high-dimensional classification context. The proposed method finds a candidate solution based on quality criteria using subset searching. In this study, the competitive swarm optimization (CSO)… read more here.
Keywords: high dimensional; feature selection; swarm optimization; proposed method ... See more keywords