The particle swarm optimization (PSO) algorithm is an established nature-inspired population-based meta-heuristic that replicates the synchronizing movements of birds and fish. PSO essentially unconstrained requires constraint handling techniques (CHTs) to solve constrained problems (COPs). For this purpose, we integrate two CHTs, superiority feasibility (SF) violation constraint-handling (VCH)...

• An efficient and effective method for creating trial functions is presented. The exemplified a measurement function future power grids. A that connects 19 dimensional variables Connectives are found between quantity equations their geometric properties. Method generalization results in the classification of kind quantities. Dimensional analysis can be used those cases, where system describing...