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 | ||
| 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
| 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 | ||
| 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
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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