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Keywords: Genetic AlgorithmClose
Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A061, November 1–5, 2021
Paper No: IMECE2021-72995
... was developed and used for sustainable machining of Ti6Al4V alloy to achieve minimized carbon emissions, improved energy efficiency and human health conditions, and reduced machining costs through Non-dominated Sorting Genetic Algorithm II (NSGA-II). Cutting parameters such as cutting speed, feed, depth of cut...
Proc. ASME. IMECE2001, Dynamic Systems and Control, 97-104, November 11–16, 2001
Paper No: IMECE2001/DSC-24512
... Proceedings of 2001 ASME International Mechanical Engineering Congress and Exposition November 11-16, 2001, New York, NY DSC-Vol. 70 IMECE2001 /DSC-24512 TIME-OPTIMAL PATH PLANNING AND CONTROL USING NEURAL NETWORKS AND A GENETIC ALGORITHM Nachol Chaiyaratana Ali M. S. Zalzala King Mongut's...
Proc. ASME. IMECE2020, Volume 2A: Advanced Manufacturing, V02AT02A054, November 16–19, 2020
Paper No: IMECE2020-24581
... the previously developed GAMP (Genetic Algorithm Maximum Path) strategy for optimizing the scanning path in ML-PBF. The E-GAMP (the Extended GAMP) strategy manipulates the printing topology of the islands and generates more thermally efficient scanning patterns for the chessboard scanning strategy in ML-PBF...
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A060, November 16–19, 2020
Paper No: IMECE2020-23552
... the critical interfaces for squeak and rattle. In this study, a two-stage evolutionary optimisation scheme, based on the genetic algorithm employing the elitism pool, is introduced to fine-tune the connectors’ configuration in an assembly. The objective function was defined as the variation and the deviation...
Proc. ASME. IMECE2019, Volume 7: Fluids Engineering, V007T08A056, November 11–14, 2019
Paper No: IMECE2019-10846
... environmental impact. This paper attempts to develop and optimize the Leading-Edge Slat geometry and its orientation with respect to airfoil using Genetic Algorithm. The class of Genetic Algorithm implemented was Invasive Weed Optimization as it showed significant potential in converging design to an optimal...
Proc. ASME. IMECE2019, Volume 3: Biomedical and Biotechnology Engineering, V003T04A083, November 11–14, 2019
Paper No: IMECE2019-11088
... datasets, a profile function coupled with a GUI code is constructed for estimating the pressure-temperature response by using a Gaussian function and a Genetic Algorithm. The HIFU response model illustrated in this study can be advantageous and time-effective when multiple simulations are required...
Proc. ASME. IMECE2008, Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C, 1541-1552, October 31–November 6, 2008
Paper No: IMECE2008-67619
... using a genetic algorithm: the objective functions of the optimization are the average solid temperature of the device and the pressure drop inside tubes, both to be minimized, and the temperature of the fluid at tubes’ outlet, which should be maximized: the last objective function enforces the maximum...
Proc. ASME. IMECE2007, Volume 4: Design, Analysis, Control and Diagnosis of Fluid Power Systems, 17-21, November 11–15, 2007
Paper No: IMECE2007-41746
... and in predicting accuracy, therefore, a new rotary machine online state forecasting method based on the genetic algorithm (GA) and neural network (NN) was presented. GA was used for dynamical optimizing the structure parameters of BP network to obtain the optimal network structure. A training algorithm combining...
Proc. ASME. IMECE2007, Volume 1: Advances in Aerospace Technology, 211-220, November 11–15, 2007
Paper No: IMECE2007-41378
... fraction on the natural bending frequencies and corresponding bending mode shapes, and the plate thickness and the overlap length were also important geometrical design parameters whereas the adhesive thickness had a minor effect. In addition, the present ANN models were combined with Genetic Algorithm...
Proc. ASME. IMECE2002, Dynamic Systems and Control, 217-224, November 17–22, 2002
Paper No: IMECE2002-33436
... This paper presents the use of genetic algorithms for solving time optimal and time-energy optimal control problems in a satellite attitude control system. The satellite attitude control system is a multi-input/multi-output non-linear system at which its continuous attitude-related states...
Proc. ASME. IMECE2003, Recent Advances in Mechanics of Solids and Structures, 189-195, November 15–21, 2003
Paper No: IMECE2003-43925
... The purpose of this work is to explore the possibility of utilizing Genetic Algorithm in optimizing the surface topology of water tanks. The surface characteristics of a corrugated tank are tested on a small element on its circumference. A mathematical equation to represent most practical...
Proc. ASME. IMECE2003, Design Engineering, Volumes 1 and 2, 997-1002, November 15–21, 2003
Paper No: IMECE2003-42674
... be converted to the motion planning problem for a driftless control system. In this paper, we propose an optimal control approach for nonholonomic motion planning. The genetic algorithm is used to optimize the performance of motion planning to connect the initial and final configurations and to generate...
Proc. ASME. IMECE2003, Computers and Information in Engineering, 59-65, November 15–21, 2003
Paper No: IMECE2003-55252
... requirements are generated from selected modules by referencing the module library. A genetic algorithm is applied to optimization of module arrangements in each combination set. Several module arrangements which satisfy functional requirements are obtained. These arrangements offer a rough design plan...
Proc. ASME. IMECE2003, Aerospace, 71-78, November 15–21, 2003
Paper No: IMECE2003-41813
... are introduced to enhance the design diversity in each Genetic Algorithm population. The capabilities and limitations of the fixed mesh approach and the improved load path approach are studied through several examples. The results show that the load path approach can achieve better quality solution with less...
Proc. ASME. IMECE2004, Dynamic Systems and Control, Parts A and B, 645-652, November 13–19, 2004
Paper No: IMECE2004-59742
... process and the results obtained are compared with each other. A genetic algorithm (GA) is used as an optimization and constraining tool. Convergence, constraint handling and processing time are considered to evaluate the efficacy of the methodology developed. 28 03 2008 Robust Design...
Proc. ASME. IMECE2004, Dynamic Systems and Control, Parts A and B, 697-705, November 13–19, 2004
Paper No: IMECE2004-60502
... This paper deals with the design and optimization of a Fuzzy Logic Controller that is used in the obstacle avoidance and path tracking problems of mobile robot navigation. The Fuzzy Logic controller is tuned using reinforcement learning controlled Genetic Algorithm. The operator probabilities...
Proc. ASME. IMECE2004, Transportation: Transportation and Environment, 91-97, November 13–19, 2004
Paper No: IMECE2004-62270
... Underride protective structure can reduce serious injures when passenger cars collide with the rear end or side of the heavy vehicle. This paper describes the use of Genetic Algorithm (GA) coupled with a dynamic, inelastic and large deformation finite element (FE) code LS-DYNA to search optimal...
Proc. ASME. IMECE2005, Engineering/Technology Management, 27-31, November 5–11, 2005
Paper No: IMECE2005-80515
... The detection and identification of structural damages play a key role in the monitoring and servicing of structural safety and reliability. This paper applies the real-coded Genetic Algorithm to the crack detection problems of multi-cracked beams. The objective function of the Genetic Algorithm...
Proc. ASME. IMECE2005, Materials, 73-82, November 5–11, 2005
Paper No: IMECE2005-81005
... Design optimizations using a genetic algorithm (GA) are well suited for problems having many design variables and local optimum design points. Concomitant with recent manufacturing advances, the concept is utilized here to minimize the tensile stress concentration in a perforated laminated...
Proc. ASME. IMECE2005, Dynamic Systems and Control, Parts A and B, 907-912, November 5–11, 2005
Paper No: IMECE2005-79772
.... Since the objective is to accurately estimate the ARX model parameters and therefore the system model, the preliminary estimated ARX parameters posses some uncertainty. The optimization of the new input signal is accomplished using a simple Genetic Algorithm. Simulation results indicate the proposed...