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Keywords: genetic algorithm
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Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2020, 142(7): 072001.
Paper No: MD-19-1214
Published Online: December 12, 2019
..., finds the optimal build layout of the parts, and optimizes which parts to consolidate using a genetic algorithm. Results are presented for both minimal production time and minimal production costs, respectively. The production time and cost models consider each step of the manufacturing process...
Includes: Supplementary data
Journal Articles
Article Type: Research-Article
J. Mech. Des. April 2013, 135(4): 041005.
Paper No: MD-12-1099
Published Online: March 26, 2013
... of an optimal number of subsystems by using a multi-objective optimization formulation and a messy genetic algorithm (GA) modified to handle discrete design variables. In the suggested method, an MDA process is decomposed and sequenced for simultaneously minimizing the feedback couplings within each subsystem...
Journal Articles
Article Type: Research Papers
J. Mech. Des. June 2010, 132(6): 061001.
Published Online: May 20, 2010
... is implemented successfully using a genetic algorithm. 23 06 2009 04 03 2010 20 05 2010 20 05 2010 genetic algorithms heating elements injection moulding rods (structures) multi-objective optimization genetic algorithm rapid heating cycle molding The surface...
Journal Articles
Article Type: Technical Briefs
J. Mech. Des. January 2010, 132(1): 014501.
Published Online: December 21, 2009
... exist multiple design solutions. To overcome this problem, a nonlinear approach using a genetic algorithm is used to search for an optimal solution. Finally, a design simulation is performed on an example MRR, and the results show the effectiveness of the proposed design method. A modular...
Journal Articles
Article Type: Research Papers
J. Mech. Des. November 2008, 130(11): 111102.
Published Online: October 3, 2008
... as a tool to facilitate the modeling of a product’s upgradability based on its technical characteristics and the reutilization mode. In the optimization phase, a new DFU optimization program is developed by using genetic algorithm techniques. The objective of a product’s DFU optimization is defined so...
Journal Articles
Article Type: Research Papers
J. Mech. Des. August 2008, 130(8): 082301.
Published Online: July 10, 2008
.... As a consequence, a suitable multi-objective genetic algorithm (MOGA) has been adopted to reduce vibration effects and to improve the quality of the robot motion with optimal motion profiles. In comparison with the traditional cutting techniques, the proposed one allows, as a result of the optimal motion...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2008, 130(4): 041101.
Published Online: February 28, 2008
... decision perspective. It is embedded within a genetic algorithm setup to capture the buried, transient, yet inherent data pattern in the design evolution based on the principles of data mining, which are then used to improve the overall performance and effectiveness of surrogate-model-based design...
Journal Articles
Article Type: Research Papers
J. Mech. Des. December 2007, 129(12): 1206–1214.
Published Online: May 31, 2007
... characteristic of the product (the intonation) as a multicriteria optimization problem. The design of the inner shape (the bore) of a “new” instrument is finally made by solving the multicriteria optimization problem using genetic algorithms. The input impedance of the 12 trumpets proposed...
Journal Articles
Article Type: Research Papers
J. Mech. Des. June 2007, 129(6): 566–585.
Published Online: October 12, 2006
...., to maximize the availability of real information where assumptions might otherwise be made instead. In this paper, we apply Genetic Algorithms (GAs) to an information flow model to find an optimized sequence for a set of design activities. The optimality of a solution depends on the objective of rearrangement...
Journal Articles
Article Type: Research Papers
J. Mech. Des. September 2006, 128(5): 1080–1091.
Published Online: October 30, 2005
... design schemes. Additionally, multiple gradations of structural resolution and a variety of configurations can be generated without increasing the number of design variables. By treating topology synthesis as a discrete optimization problem, the synthesis approach is incorporated in a genetic algorithm...