Evolutionary Algorithms in Engineering Design Optimization 

<br/><br/><br/>English[eng] 
<br/><br/><label>ISBN: </label>9783040000000 
<br/><br/><label>Subjects--Topical Terms: </label><br/>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