… to adaptively adjust their candidate solution generation … In SABC-SI, a novel population
initialization method based on … is given in Table 2, where θ is a threshold used to determine …

… This section describes a novel approach for OFS that leverages the power of Dynamic PSO
… In this step, the algorithm applies the PSO to the Candidate Features (CF) in order to obtain …

… a self-adaptive artificial bee colony algorithm based on the global best candidate for solving
… The particle dimension of the improved PSO algorithm is determined, and the position and …

… -based algorithms: Advanced Particle Swarm Optimization (APSO), … In this work, to calculate
the error during the learning process… where x k , i , g is the i t h candidate’s value of the k t h …

… Each string is the encoded binary, real, etc. version of a candidate solution. An evaluation …
After generating the initial population and calculating the cost of each member, the method is …

… , a novel feature selection algorithm based on PSO with … λ as a threshold to determine
whether a feature is selected or … When evaluating a candidate feature subset, we can check …

… to determine the mutant vector for the mutation operation. Similarly, for CMHDE-PSO (1)
novel … strategies on each portion of the populace to broaden the candidate vector solution. …

… in classification problems, two major factors determine the … Before evaluating a candidate
feature subset, we can check whether it has … The detail of evaluating a candidate feature subset …

… ; then, the PSO-FS optimizer is used to determine the optimal … not also good candidates for
the classification process. Figure … This paper proposed a novel Adaptive Dynamic Polar Rose …

… a novel hybrid feature selection approach with a combination of particle swarm optimization
with … ; also, it is used for the selection of one or more combinations of candidate biomarkers. …