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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing [[electronic resource] ] : 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10–12, 2019, Revised Selected Papers / / edited by Aleš Zamuda, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 213 p. 82 illus., 34 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computers
Artificial intelligence Algorithms Numerical analysis Computer organization Computation by Abstract Devices Artificial Intelligence Algorithm Analysis and Problem Complexity Numeric Computing Information Systems and Communication Service Computer Systems Organization and Communication Networks |
ISBN | 3-030-37838-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cooperative Model of Evolutionary Algorithms and Real-World Problems -- Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge -- Population Size in Differential Evolution -- Channel Assignment with Ant Colony Optimization -- Self-organizing migrating algorithm with non-binary perturbation -- Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC‘17 Benchmark -- MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives -- Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling -- Classification of Stock Market Trends with Confidence-based Selective Predictions -- A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil -- Competition of Strategies in jSO Algorithm -- Neural swarm virus -- Wrapper-based feature selection using Self-adaptive Differential Evolution -- SOMA T3A for Solving the 100-Digit Challenge -- Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots -- Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes -- Virtual Measurement of the Backlash Gap in Industrial Manipulators -- Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. |
Record Nr. | UNISA-996465448203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing : 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10–12, 2019, Revised Selected Papers / / edited by Aleš Zamuda, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 213 p. 82 illus., 34 illus. in color.) |
Disciplina |
006.3
006.3824 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computers
Artificial intelligence Algorithms Numerical analysis Computer organization Computation by Abstract Devices Artificial Intelligence Algorithm Analysis and Problem Complexity Numeric Computing Information Systems and Communication Service Computer Systems Organization and Communication Networks |
ISBN | 3-030-37838-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cooperative Model of Evolutionary Algorithms and Real-World Problems -- Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge -- Population Size in Differential Evolution -- Channel Assignment with Ant Colony Optimization -- Self-organizing migrating algorithm with non-binary perturbation -- Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC‘17 Benchmark -- MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives -- Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling -- Classification of Stock Market Trends with Confidence-based Selective Predictions -- A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil -- Competition of Strategies in jSO Algorithm -- Neural swarm virus -- Wrapper-based feature selection using Self-adaptive Differential Evolution -- SOMA T3A for Solving the 100-Digit Challenge -- Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots -- Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes -- Virtual Measurement of the Backlash Gap in Industrial Manipulators -- Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. |
Record Nr. | UNINA-9910373922703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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