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Keywords: genetic algorithmClose
Proc. ASME. DETC97, Volume 2: 23rd Design Automation Conference, V002T29A039, September 14–17, 1997
Paper No: DETC97/DAC-3853
... task-based design modular manipulator genetic algorithm distributed agents robot design Abstract This paper introduces a novel agent-based solution approach to Task Based Design (TBD) and illustrates it with a fault tolerant manipulator design problem for a satellite docking operation...
Proc. ASME. DETC98, Volume 6: 18th Computers in Engineering Conference, V006T06A071, September 13–16, 1998
Paper No: DETC98/CIE-5553
... scheduling state space search genetic algorithm artificial intelligence Abstract A number of intelligent scheduling models for product distribution have been introduced in this research. The databases, representing scheduling requirements and results, are described using object...
Proc. ASME. DETC98, Volume 6: 18th Computers in Engineering Conference, V006T06A078, September 13–16, 1998
Paper No: DETC98/CIE-5556
... paper, a new fuzzy neural network (FNN) and an adaptive learning mechanism based on genetic algorithm has been proposed for modeling the fuzzy reasoning process and constructing an efficient adaptive fuzzy control systems. Experiment results show that the FNN is capable of modeling complex functions and...
Proc. ASME. DETC99, Volume 6: International Symposium on Motion and Vibration Control, 105-111, September 12–16, 1999
Paper No: DETC99/MOVIC-8412
... using finite element method and the cross-sectional dimensions of the beam elements are used as structural design variables. A sliding mode controller and a linear stabilizer are used to regulate the arm position. The structural and control parameters are optimized simultaneously using genetic algorithm...
Proc. ASME. DETC99, Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise, 1161-1167, September 12–16, 1999
Paper No: DETC99/VIB-8264
... restricts their wide application in practice. This paper establishes a balancing process frame with both unbalance and bearing parameters as inputs and the vibration responses on bearings as outputs. The authors determine the rotor unbalance as an inverse engineering problem using genetic algorithms (GA...
Proc. ASME. IDETC-CIE2000, Volume 5: 14th Reliability, Stress Analysis, and Failure Prevention Conference; 7th Flexible Assembly Conference, 215-222, September 10–13, 2000
Paper No: DETC2000/FLEX-14464
... Abstract Genetic algorithms show particular promise for automated assembly planning. As a result, several recent research reports present genetic-algorithm-based mechanical-product assembly planners. However, genetic-algorithm-based assembly planners require an initial assembly-sequence...
Proc. ASME. IDETC-CIE2001, Volume 1: 21st Computers and Information in Engineering Conference, 831-841, September 9–12, 2001
Paper No: DETC2001/CIE-21672
... Intelligent Scheduling Fuzzy-based Pattern Classification Genetic Algorithm State-space Search Optimization Abstract A zone-based delivery scheduling approach is introduced in this research using artificial intelligence techniques. In this approach, delivery scheduling is conducted at...
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A062, August 17–19, 2020
Paper No: DETC2020-22664
... function model genetic algorithm automation Abstract The goal of this paper is to develop the groundwork for automated synthesis of function models. To this end, an evolutionary algorithm based framework has been developed. A parameterization method that can completely describe any...
Proc. ASME. IDETC-CIE2019, Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, V009T12A029, August 18–21, 2019
Paper No: DETC2019-97479
... state error. Employing metaheuristic optimization techniques is possible to find optimal solutions for the PID tuning multiobjective optimization problem with less computational cost. This paper presents the using of genetic algorithms as metaheuristic optimization technique for the tuning of a PID...
Proc. ASME. IDETC-CIE2013, Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference, V005T06A015, August 4–7, 2013
Paper No: DETC2013-12041
... clustering result, a knowledge aware heuristic element is included in the GA process. The efficiency and effectiveness of the algorithm is verified with four case studies. Modular Product Architecture DSM Clustering Minimum Description Length Genetic Algorithm 1 Copyright © 2013 by ASME FAST...
Proc. ASME. IDETC-CIE2013, Volume 2A: 33rd Computers and Information in Engineering Conference, V02AT02A064, August 4–7, 2013
Paper No: DETC2013-13024
... The paper describes a prototype design system based on genetic algorithm to evolve concept designs, which are coded in an action grammar. The action grammar captures the design intents expressed by the designers’ strokes during sketching process. The model is based on the assumption that the...
Proc. ASME. IDETC-CIE2012, Volume 1: 24th Conference on Mechanical Vibration and Noise, Parts A and B, 1219-1229, August 12–15, 2012
Paper No: DETC2012-70990
... Vibration control piezoelectric sensor/actuator Pair genetic algorithm optimal placement electric charge ANSYS state space matrices This paper concerns optimal placement of discrete piezoelectric sensors and actuators for active vibration control, using a genetic algorithm based on...
Proc. ASME. IDETC-CIE2012, Volume 1: 24th Conference on Mechanical Vibration and Noise, Parts A and B, 1115-1128, August 12–15, 2012
Paper No: DETC2012-70204
... Vibration control piezoelectric sensor/actuator pair genetic algorithm symmetrical structure asymmetrical structure solid45/5 In this article, the global optimal configuration of sensors and actuators has been investigated for active vibration reduction of plates with symmetrical and...
Proc. ASME. IDETC-CIE2009, Volume 5: 35th Design Automation Conference, Parts A and B, 881-889, August 30–September 2, 2009
Paper No: DETC2009-86810
... Genetic algorithm 1 Copyright © 2009 by ASME Proceedings of the ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2009 August 30 - September 2, 2009, San Diego, California, USA DETC2009-86810 INTEGRATED OPTIMIZATION FOR...
Proc. ASME. IDETC-CIE2008, Volume 1: 34th Design Automation Conference, Parts A and B, 543-552, August 3–6, 2008
Paper No: DETC2008-50097
... in the search space. EAs do not require the optimization problem to have a functional form and do not rely on gradients of objectives and constraints. Genetic algorithms (GA) [26 29] are one class of the evolutionary techniques that have been suc- cessfully used as an optimization tool. Since a GA...
Proc. ASME. IDETC-CIE2008, Volume 1: 34th Design Automation Conference, Parts A and B, 499-509, August 3–6, 2008
Paper No: DETC2008-49681
... visual steering commands to allow designers to “steer” the optimization process while searching for the best, or Pareto optimal, designs. In this paper, we compare the performance of different combinations of visual steering commands implemented by two users to a multi-objective genetic algorithm that is...
Proc. ASME. IDETC-CIE2007, Volume 3: 19th International Conference on Design Theory and Methodology; 1st International Conference on Micro- and Nanosystems; and 9th International Conference on Advanced Vehicle Tire Technologies, Parts A and B, 1083-1090, September 4–7, 2007
Paper No: DETC2007-34271
... over the driving cycle, while enhancing or maintaining the driving performance characteristics of the vehicle. Genetic algorithm (GA) is used to solve the optimization problem and the constraints are handled by using penalty functions. The results from the computer simulation show the effectiveness of...
Proc. ASME. IDETC-CIE2007, Volume 6: 33rd Design Automation Conference, Parts A and B, 29-38, September 4–7, 2007
Paper No: DETC2007-35497
... 22 05 2009 A novel approach using a genetic algorithm is presented for extracting globally satisfycing (Pareto optimal) solutions from a morphological chart where the evaluation and combination of “means to sub-functions” is modeled as a combinatorial multi-objective optimization...
Proc. ASME. IDETC-CIE2004, Volume 1: 30th Design Automation Conference, 123-130, September 28–October 2, 2004
Paper No: DETC2004-57115
... 30 06 2008 We propose an optimization method for a semi-active shock absorber for use in aircraft landing gear using Carroll’s FORTRAN Genetic Algorithm (GA) Driver. This method is compared with Powell’s conjugate direction method, a nonlinear programming (NP) approach, which uses not...
Proc. ASME. IDETC-CIE2004, Volume 2: 28th Biennial Mechanisms and Robotics Conference, Parts A and B, 923-933, September 28–October 2, 2004
Paper No: DETC2004-57373
... static balancing genetic algorithm rolling link mechanism surgical forceps laparoscopy Static balancing can be used as a means to compensate certain (disturbance) forces in a mechanism. This paper describes a two-step design strategy for statically balanced mechanisms, balanced with...