… 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 …

… 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 …

… history best fitness) is used to determine the learning probabilities. These probabilities affect
… better candidate solutions. Our approach is based on adaptive particle swarm optimization (…

… -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 …

… 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 …

… 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 …

… binary particle swarm optimization (BPSO) with opposition-based … Hence, the candidate
solution and its opposite candidate … In this paper, a novel fitness based dynamic inertia weight …

… To apply the discrete PSO, the candidate solutions or … To calculate the similarity value
of a rule with the existing rule … a novel supervised incremental classification method based …

… to be a qualified candidate. PSO is a population-based stochastic optimization algorithm … ,
which leads to a novel SDPSO-SVM classification algorithm with applications in AD diagnosis. …

… 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. …