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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 online resource (314 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accuracy levels
aeroacoustics archiving strategy artificial neural networks (ANN) limited training data Automatic Voltage Regulation system availability bankruptcy problem beam improvements beam T-junctions models Chaotic optimization classification control design differential evolution distance-based diversity control encoding evolutionary algorithm evolutionary algorithms evolutionary optimization experimental study finite elements analysis Fractional Order Proportional-Integral-Derivative controller genetic algorithm genetic programming global optimisation global optimization Gough-Stewart launchers machine learning machine vision min-max optimization mono and multi-objective optimization multi-objective decision-making multi-objective evolutionary algorithms multi-objective optimisation multi-objective optimization mutation-selection nearly optimal solutions neural networks non-linear parametric identification optimal control optimal design parallel manipulator parameter optimization Pareto front performance metrics plastics thermoforming preference in multi-objective optimization preventive maintenance scheduling quality control real application reusable launch vehicle robust robust design roughness measurement sheet thickness distribution space systems spaceplanes surrogate T-junctions trailing-edge noise trajectory optimisation two-stage method uncertainty quantification unscented transformation worst-case scenario Yellow Saddle Goatfish Algorithm |
| 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 / Dominik Kurzydlowski, Andreas Hermann
| First-Principles Prediction of Structures and Properties in Crystals / Dominik Kurzydlowski, Andreas Hermann |
| Autore | Kurzydlowski Dominik |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto topico | Chemistry |
| 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 |
9783039216710
3039216716 |
| 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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