Info
Evolutionary Algorithms in Engineering Design Optimization
| Evolutionary Algorithms in Engineering Design Optimization |
| Autore | Greiner David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
Greiner David
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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First-Principles Prediction of Structures and Properties in Crystals
| First-Principles Prediction of Structures and Properties in Crystals |
| Autore | Kurzydlowski Dominik |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto non controllato |
ab initio
magnetic Lennard-Jones superconductivity global optimisation electrical engineering first-principles semiconductors refractory metals genetic algorithm DFT crystal structure prediction electronic structure indium arsenide van der Waals corrections charged defects Ir-based intermetallics point defects electronic properties learning algorithms half-Heusler alloy molecular crystals chlorine optical properties ab initio calculations magnetic properties structure prediction thermoelectricity high-pressure density functional theory magnetic materials structural fingerprint crystal structure semihard materials silver formation energy Heusler alloy battery materials elastic properties |
| ISBN | 3-03921-671-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367750203321 |
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Kurzydlowski Dominik
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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