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Keywords: genetic algorithmsClose
Onur L. Cetin, Kazuhiro Saitou, Hidekazu Nishigaki, Shinji Nishiwaki, Tatsuyuki Amago, Noboru Kikuchi
Proc. ASME. IMECE2001, Advanced Vehicle Technologies, 131-140, November 11–16, 2001
Paper No: IMECE2001/DE-23265
... synthesis first order analysis (FOA) genetic algorithms Proceedings of 2001 ASME International Mechanical Engineering Congress and Exposition November 11-16, 2001, New York, NY DE-Vol. 112 IMECE2001 /DE-23265 MODULAR STRUCTURAL COMPONENT DESIGN USING THE FIRST ORDER ANALYSIS AND DECOMPOSITION-BASED...
Proc. ASME. IMECE2001, Advanced Vehicle Technologies, 1-12, November 11–16, 2001
Paper No: IMECE2001/DE-23251
... models for transit buses, such that this method can be easily implemented for simulation and control design purposes. Based on the analysis of robustness, as well as accuracy and efficiency of optimization techniques, a parameter estimation method that integrates Genetic Algorithms and the Maximum...
Proc. ASME. IMECE2001, Dynamic Systems and Control, 105-111, November 11–16, 2001
Paper No: IMECE2001/DSC-24513
... Proceedings of 2001 ASME International Mechanical Engineering Congress and Exposition November 11-16, 2001, New York, NY DSC-Vol. 70 IMECE2001 /DSC-24513 SELECTION OF OPTIMAL MACHINING PARAMETERS USING A GENETIC ALGORITHM K. Krishnamurthy and Lei Yan Department of Mechanical and Aerospace...
Proc. ASME. IMECE2013, Volume 4A: Dynamics, Vibration and Control, V04AT04A090, November 15–21, 2013
Paper No: IMECE2013-64667
... of design parameter changes, in order to minimize contact forces, accelerations, and power requirements due to the existence of joint clearance. Revolute joint clearance contact forces multibody dynamics Kriging meta-model genetic algorithms 1 Copyright © 2013 by ASME A DOE- and Kriging-based...
Proc. ASME. IMECE2013, Volume 2B: Advanced Manufacturing, V02BT02A045, November 15–21, 2013
Paper No: IMECE2013-64560
... level. In this work, a methodology will be presented to solve the NP-Hard problem of process planning through evolutionary optimization using Genetic Algorithms (GA) to generate and then find the optimized process plan for a part or a part family. For the creation of initial population without violating...
Proc. ASME. IMECE2013, Volume 2A: Advanced Manufacturing, V02AT02A090, November 15–21, 2013
Paper No: IMECE2013-63628
... to determine optimum arc welding process control parameters is proposed. It is a coupled Genetic Algorithms (GA) and Finite Element (FE) based optimization method where GA directly utilizes output responses of FE based welding simulations for iterative optimization. Effectiveness of the method has been...
Proc. ASME. IMECE2011, Volume 4: Energy Systems Analysis, Thermodynamics and Sustainability; Combustion Science and Engineering; Nanoengineering for Energy, Parts A and B, 651-669, November 11–17, 2011
Paper No: IMECE2011-63083
... plants and end-users interconnected through a mini-grid. A hybrid genetic algorithm adapted priority list was developed to solve the multi unit generation schedule optimisation problem. The algorithm developed in this study leads the optimisation mechanism to a faster convergence and a very low risk...
Proc. ASME. IMECE2011, Volume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and B, 1227-1235, November 11–17, 2011
Paper No: IMECE2011-64122
... 02 08 2012 Authors of the study propose the method aiming at determination of design properties of a multi-edge grinder. This method is based on a genetic algorithm and its purpose is to optimise the geometric shape of the cutting edges. The input data include population of individuals...
Proc. ASME. IMECE2010, Volume 3: Design and Manufacturing, Parts A and B, 173-178, November 12–18, 2010
Paper No: IMECE2010-37804
..., provided proper tool design and operating conditions are adopted. In this paper, A genetic algorithm (GA) based optimization procedure has been developed to optimize two factors, material removal rate; and delamination factor, using multi-objective function model with a weighted approach...
Proc. ASME. IMECE2008, Volume 4: Design and Manufacturing, 345-354, October 31–November 6, 2008
Paper No: IMECE2008-66116
..., the surface roughness prediction model has been optimized by using genetic algorithms (GA). The genetic algorithm program gives minimum values of surface roughness and their respective optimal machining conditions (cutting conditions and tool geometry). Hard turning Surface Roughness Tool Geometry...
Proc. ASME. IMECE2008, Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C, 613-626, October 31–November 6, 2008
Paper No: IMECE2008-67614
... slab configurations (i.e., different cooling tubes arrangements). A multi-objective genetic algorithm (MOGA II) is then used to optimize the slab thermal performance starting from the initial family set. The results confirm that Constructal Theory correctly predicts the “nearly-optimal” tube...
Proc. ASME. IMECE2007, Volume 10: Mechanics of Solids and Structures, Parts A and B, 219-229, November 11–15, 2007
Paper No: IMECE2007-43012
...). Results illustrate that the proposed controller can track the desired fin angle control under various operating conditions. Fuzzy Logic Control Piezoelectric bimorph Smart Fin Genetic Algorithms Model Identification Proceedings of IMECE2007 2007 ASME International Mechanical Engineering...
Proc. ASME. IMECE2002, Manufacturing, 551-558, November 17–22, 2002
Paper No: IMECE2002-32865
... on a genetic algorithm robustly outperformed the synthesis procedures based on the heuristics of successive measurement removal. Stream of Variation methodologies Multi-station machining Measurement scheme synthesis Successive removal of measurements Genetic algorithms Proceedings of IMECE 02...
Proc. ASME. IMECE2004, Heat Transfer, Volume 1, 345-354, November 13–19, 2004
Paper No: IMECE2004-62208
... flux predicted by the BEM under the current strength distribution of the singularities. A genetic algorithm alters the strength distribution of theiteratively singularities until the measuring surfaces heat fluxes are matched, thus, satisfying Cauchy conditions. Subsequent to the solution...
Proc. ASME. IMECE2004, Aerospace, 301-306, November 13–19, 2004
Paper No: IMECE2004-62380
... accurate. The Herschel-Bulkley fluid model is seen to fit the data with lower errors over a larger range as compared to the Bingham-Plastic model. KEYWORDS Magnetorheological fluids, Nanoparticles, Bingham-Plastic model, Herschel-Bulkley model, Genetic algorithms INTRODUCTION Magnetorheological (MR) fluids...
Proc. ASME. IMECE2004, Dynamic Systems and Control, Parts A and B, 613-618, November 13–19, 2004
Paper No: IMECE2004-59452
... functions of the fuzzy variables for this controller are determined using a hybrid genetic algorithm. Simulation results show that the proposed controller worked satisfactorily. Fuzzy Logic Control Piezoelectric Actuator Smart Fin Genetic Algorithms F A o o n Proceedings of IMECE04 In Copyright...
Proc. ASME. IMECE2005, Design Engineering, Parts A and B, 225-231, November 5–11, 2005
Paper No: IMECE2005-82338
... 25 01 2008 This paper describes the optimization of the parallel hybrid electric vehicle (HEV) component sizing using a genetic algorithm approach. The optimization process is performed over three different driving cycles including the European ECE-EUDC, American FTP and TEH-CAR cycles...
Proc. ASME. IMECE2005, Manufacturing Engineering and Materials Handling, Parts A and B, 547-554, November 5–11, 2005
Paper No: IMECE2005-80334
... of CBR to improve assembly part design. Similarity measures and the weight of different features are crucial in determining the accuracy of retrieving cases from the case base. To develop the weight of part features and retrieve a similar part design, the research proposes using Genetic Algorithms (GAs...
Proc. ASME. IMECE2006, Materials, Nondestructive Evaluation, and Pressure Vessels and Piping, 241-250, November 5–10, 2006
Paper No: IMECE2006-14468
... 18 01 2008 This paper deals with a hybrid optimization of the degree of cure and temperature field into the work piece during the pultrusion manufacturing process. The procedure is based on the consecutive application of a heuristic technique (Genetic Algorithms), with an analytical...