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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 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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui