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Palabras clave – provistas por la editorial

Automatic Voltage Regulation system; Chaotic optimization; Fractional Order Proportional-Integral-Derivative controller; Yellow Saddle Goatfish Algorithm; two-stage method; mono and multi-objective optimization; multi-objective optimization; optimal design; Gough–Stewart; parallel manipulator; performance metrics; diversity control; genetic algorithm; bankruptcy problem; classification; T-junctions; neural networks; finite elements analysis; surrogate; beam improvements; beam T-junctions models; artificial neural networks (ANN) limited training data; multi-objective decision-making; Pareto front; preference in multi-objective optimization; aeroacoustics; trailing-edge noise; global optimization; evolutionary algorithms; nearly optimal solutions; archiving strategy; evolutionary algorithm; non-linear parametric identification; multi-objective evolutionary algorithms; availability; design; preventive maintenance scheduling; encoding; accuracy levels; plastics thermoforming; sheet thickness distribution; evolutionary optimization; genetic programming; control; differential evolution; reusable launch vehicle; quality control; roughness measurement; machine vision; machine learning; parameter optimization; distance-based; mutation-selection; real application; experimental study; global optimisation; worst-case scenario; robust; min-max optimization; optimal control; multi-objective optimisation; robust design; trajectory optimisation; uncertainty quantification; unscented transformation; spaceplanes; space systems; launchers