1-20 of 453
Genetic algorithms
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing

Toluwalase O. Olajoyegbe, Beshoy Morkos
Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 14–17, 2022
Paper No: DETC2022-91294
DOI: https://doi.org/10.1115/DETC2022-91294
View Paper titled, Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing
Click here to open pdf in another window PDF for Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing
Topics: Accounting, Economics , Genetic algorithms, Manufacturing, Manufacturing systems, Modeling, Optimization, Production facilities, Service life (Equipment), Sustainability
Proceedings Papers

Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors

Dario Barri, Federico Soresini, Massimiliano Gobbi, Gianpiero Mastinu
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A012, August 14–17, 2022
Paper No: DETC2022-89930
DOI: https://doi.org/10.1115/DETC2022-89930
View Paper titled, Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors
Click here to open pdf in another window PDF for Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors
Topics: Design, Electric motors, Genetic algorithms, Pareto optimization
Proceedings Papers

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Fabian Dworschak, Christopher Sauer, Benjamin Schleich, Sandro Wartzack
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A001, August 14–17, 2022
Paper No: DETC2022-89073
DOI: https://doi.org/10.1115/DETC2022-89073
View Paper titled, Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
Click here to open pdf in another window PDF for Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
Topics: Design, Metalworking, Reinforcement learning, Genetic algorithms, Machine learning, Manufacturing, Pareto optimization, Probes
Proceedings Papers

A Constraint-Handling Technique for Parametric Optimization and Control Co-Design

Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A009, August 14–17, 2022
Paper No: DETC2022-89957
DOI: https://doi.org/10.1115/DETC2022-89957
View Paper titled, A Constraint-Handling Technique for Parametric Optimization and Control Co-Design
Click here to open pdf in another window PDF for A Constraint-Handling Technique for Parametric Optimization and Control Co-Design
Topics: Design, Optimization, Genetic algorithms, Pendulums, Support vector machines, Algorithms, Control equipment, Control systems, Dynamics (Mechanics), Machine learning
Proceedings Papers

A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems

Guanglu Zhang, Douglas Allaire, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A027, August 14–17, 2022
Paper No: DETC2022-88146
DOI: https://doi.org/10.1115/DETC2022-88146
View Paper titled, A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems
Click here to open pdf in another window PDF for A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems
Topics: Curve fitting, Parameter estimation, Errors, Fittings, Genetic algorithms, Inverse problems, Optimization
Proceedings Papers

A Data-Driven Design Approach for Carbon Emission Prediction of Machining

Yuxuan Chen, Wei Yan, Hua Zhang, Ying Liu, Zhigang Jiang, Xumei Zhang
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A062, August 14–17, 2022
Paper No: DETC2022-90465
DOI: https://doi.org/10.1115/DETC2022-90465
View Paper titled, A Data-Driven Design Approach for Carbon Emission Prediction of Machining
Click here to open pdf in another window PDF for A Data-Driven Design Approach for Carbon Emission Prediction of Machining
Topics: Carbon, Data-driven design, Emissions, Machining, Design, Errors, Manufacturing industry, Artificial neural networks, Computer-aided design, Data collection
Proceedings Papers

A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control

Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A011, August 17–19, 2021
Paper No: DETC2021-69295
DOI: https://doi.org/10.1115/DETC2021-69295
View Paper titled, A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control
Click here to open pdf in another window PDF for A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control
Topics: Control equipment, Design, Feedback, Nonlinear programming, Optimization, Dynamic systems, Engineering design processes, Genetic algorithms, Metamodeling, Optimal control
Proceedings Papers

Multi-Objective Structural Optimization of Vehicle Wheels

P. Stabile, F. Ballo, M. Gobbi, G. Previati
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 17–19, 2021
Paper No: DETC2021-71062
DOI: https://doi.org/10.1115/DETC2021-71062
View Paper titled, Multi-Objective Structural Optimization of Vehicle Wheels
Click here to open pdf in another window PDF for Multi-Objective Structural Optimization of Vehicle Wheels
Topics: Artificial neural networks, Design, Genetic algorithms, Pareto optimization, Structural optimization, Vehicles, Wheels
Proceedings Papers

A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Andrea Tonoli, Nicola Amati, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A017, August 17–19, 2021
Paper No: DETC2021-68469
DOI: https://doi.org/10.1115/DETC2021-68469
View Paper titled, A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
Click here to open pdf in another window PDF for A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
Topics: Artificial neural networks, Construction equipment, Genetic algorithms, Lead-acid batteries, Machine learning
Proceedings Papers

Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles

Shailesh Hegde, Angelo Bonfitto, Hadi Rahmeh, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A019, August 17–19, 2021
Paper No: DETC2021-71621
DOI: https://doi.org/10.1115/DETC2021-71621
View Paper titled, Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles
Click here to open pdf in another window PDF for Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles
Topics: Energy management, Genetic algorithms, Hybrid electric vehicles
Proceedings Papers

Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down

Matthew David Williams, Dennis Hong
Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A022, August 17–19, 2021
Paper No: DETC2021-70631
DOI: https://doi.org/10.1115/DETC2021-70631
View Paper titled, Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down
Click here to open pdf in another window PDF for Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down
Topics: Buoyancy, Robots, Drag (Fluid dynamics), Engineering simulation, Simulation, Weight (Mass), Ceilings, Energy consumption, Gases, Genetic algorithms
Proceedings Papers

Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data

Xingtong Yang, Ming Li, Liangchao Zhu, Weidong Zhong
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A027, August 17–19, 2021
Paper No: DETC2021-68487
DOI: https://doi.org/10.1115/DETC2021-68487
View Paper titled, Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data
Click here to open pdf in another window PDF for Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data
Topics: Artificial neural networks, Genetic algorithms, Optimization, Simulation, Topology
Proceedings Papers

Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers

Jicmat Ali Tribaldos, Chiradeep Sen
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A016, August 17–19, 2021
Paper No: DETC2021-71632
DOI: https://doi.org/10.1115/DETC2021-71632
View Paper titled, Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers
Click here to open pdf in another window PDF for Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers
Topics: Genetic algorithms, Grippers, Sheet metal
Proceedings Papers

Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms

Amaninder Singh Gill, Chiradeep Sen
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A070, August 17–19, 2021
Paper No: DETC2021-70575
DOI: https://doi.org/10.1115/DETC2021-70575
View Paper titled, Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms
Click here to open pdf in another window PDF for Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms
Topics: Evolutionary algorithms, Genetic algorithms, Algorithms, Computer software, Flow (Dynamics), Gases, Topology
Proceedings Papers

Design of a Monolithic Constant-Force Compliant Mechanism for Extended Range of Motion and Minimal Force Variation

Ching-Wei Lo, Yuan Chang, Mien-Li Wang, Cian-Ru Lin, Jyh-Jone Lee
Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A015, August 17–19, 2021
Paper No: DETC2021-69726
DOI: https://doi.org/10.1115/DETC2021-69726
View Paper titled, Design of a Monolithic Constant-Force Compliant Mechanism for Extended Range of Motion and Minimal Force Variation
Click here to open pdf in another window PDF for Design of a Monolithic Constant-Force Compliant Mechanism for Extended Range of Motion and Minimal Force Variation
Topics: Compliant mechanisms, Design, Finite element analysis, Genetic algorithms, Topology
Proceedings Papers

Design, Modeling, and Optimization of a Novel Asymmetrical Piezoelectrically Actuated Microgripper

Zekui Lyu, Qingsong Xu
Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A039, August 17–19, 2021
Paper No: DETC2021-68787
DOI: https://doi.org/10.1115/DETC2021-68787
View Paper titled, Design, Modeling, and Optimization of a Novel Asymmetrical Piezoelectrically Actuated Microgripper
Click here to open pdf in another window PDF for Design, Modeling, and Optimization of a Novel Asymmetrical Piezoelectrically Actuated Microgripper
Topics: Design, Modeling, Optimization, Displacement, Grippers, Resonance, Biomedicine, Bridges (Structures), Clamps (Tools), End effectors
Proceedings Papers

Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts

Stefan Holzinger, Manuel Schieferle, Johannes Gerstmayr, Manfred Hofer, Christoph Gutmann
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A016, August 17–19, 2021
Paper No: DETC2021-71417
DOI: https://doi.org/10.1115/DETC2021-71417
View Paper titled, Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts
Click here to open pdf in another window PDF for Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts
Topics: Modeling, Rotors, Optimization, Multibody systems, Dynamics (Mechanics), Errors, Genetic algorithms, Multibody dynamics, Optimization algorithms
Proceedings Papers

A Darwinian Approach to the Actuator Number and Placement Problem With Nonnegligible Actuator Mass

David C. Zimmerman
Proc. ASME. DETC91, 13th Biennial Conference on Mechanical Vibration and Noise: Structural Vibration and Acoustics, 83-88, September 22–25, 1991
Paper No: DETC1991-0187
DOI: https://doi.org/10.1115/DETC1991-0187
View Paper titled, A Darwinian Approach to the Actuator Number and Placement Problem With Nonnegligible Actuator Mass
Click here to open pdf in another window PDF for A Darwinian Approach to the Actuator Number and Placement Problem With Nonnegligible Actuator Mass
Topics: Actuators, Algorithms, Genetic algorithms, Computer programming, Space frame structures, Vibration control
Proceedings Papers

Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge

Liana Borup, Alan Parkinson
Proc. ASME. DETC92, 18th Design Automation Conference: Volume 1 — Optimum Design, Manufacturing Processes, and Concurrent Engineering, 137-143, September 13–16, 1992
Paper No: DETC1992-0114
DOI: https://doi.org/10.1115/DETC1992-0114
View Paper titled, Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge
Click here to open pdf in another window PDF for Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge
Topics: Optimization, Algorithms, Design, Simulated annealing, Engineering models, Function approximation, Genetic algorithms, Optimization algorithms, Robustness
Proceedings Papers

An Efficient Genetic Algorithm for Large Scale Built-Up Structural Optimization

Shigang Wang, Xindu Cheng, Ji Zhou, Jun Yu
Proc. ASME. DETC93, 19th Design Automation Conference: Volume 1 — Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization, 505-510, September 19–22, 1993
Paper No: DETC1993-0340
DOI: https://doi.org/10.1115/DETC1993-0340
View Paper titled, An Efficient Genetic Algorithm for Large Scale Built-Up Structural Optimization
Click here to open pdf in another window PDF for An Efficient Genetic Algorithm for Large Scale Built-Up Structural Optimization
Topics: Genetic algorithms, Structural optimization, Displacement, Plates (structures), Space, Stress