… population-based optimization algorithm – which we call a group counseling optimizer (GCO…
beings in life problem solving through counseling within a group. This is motivated by the …

… we call Group Counseling Optimizer (GCO), is presented. It mimics the group counseling …
recently published comprehensive learning particle swarm optimizer (CLPSO). The results …

… optimization problems due to its high speed of convergence that we find for single-objective
optimization. In … Group Counseling Optimizer (MOGCO). In the original GCO algorithm, two …

… in solving life problems through counseling within a group. After its promising results in …
optimization problems, in this paper, GCO is extended to solve the constrained optimization …

… In section III, we briefly discuss the group counseling optimizer. Sections IV and V describe
the knapsack problem and experimental results, respectively. Section VI concludes the article…

… as an appealing metaphor for computational optimization. In … what we call a Group Counseling
Optimizer and test it on … drawn between group counseling and the optimization based …

… group counseling options can significantly improve the performance of the system by as much
as 40%. Conclusions: Group counseling … rigorous simulation-optimization procedure that …

… forward the optimization plan of mental health education and psychological counseling for
college … divided into a psychological intervention group and a teaching routine group. Both …

… cadres, namely experiencing changes following external objectives, increasing knowledge,
skills, and motivation of PMBA counselor cadres and the formation of PMBA support group …

… world optimization (SSWO), group counseling optimization (GCO), and a hybrid of these
two algorithms with matured random initialization and variable insertion neighborhood search …