… Therefore, this paper proposes a novel enhanced version of the GOA, called adaptive …
calculating a feasible solution X to a given problem, a new chance which makes the candidate …

… -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 …

… 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 …

… 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. …

… to evaluate the candidate solution. This is because the KNN … tackling feature selection issues
called Novel PSO (NPSO). … values are proposed for determining the switching position: 1) …

… factor to determine whether the rule is interesting or not. … [103] proposed a novel PSO-based
fuzzy associative classifier (… database and defines the candidate association rules for hazard …

… informative candidates, we devise a selection method based … assisted social learning-based
PSO (SL-PSO) algorithm focuses … In this article, we have proposed a novel SAEA, called CA-…

… ; 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 …

… (14) F i t n e s s = α × a + ( 1 − α ) × f To evaluate the strength of candidate solutions, we
define a fitness value, which we calculate following Eq. (14). In this equation, α is a …

… 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 …