Evolutionary algorithm for the placement of fluid power valves on a valve stand |
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| Authors: | Trichy M Kethara Pasupathy Ravi Teja SeethamRaju Robert G Wilhelm |
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| Affiliation: | (1) Health Science Center-Jacksonville, University of Florida, 655 West 8th Street, Jacksonville Florida, FL 32209, USA;(2) Siemens Medical Solutions MGH-NMR Center, Building 149, Room 2301, 13th Street, Charlestown, MA 02129, USA;(3) Department of Mechanical Engineering, The University of North Carolina at Charlotte, 9201 University City Building, Charlotte, NC 28223, USA |
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| Abstract: | The choice of placement of fluid power valves on a valve stand and routing by pipes impacts operational costs. Choosing the right placement that provides optimum routing configuration or determining the optimum routing for a chosen placement, are both computationally hard problems. An evolutionary algorithm (EA), to minimize operational costs while optimizing placement and routing of valves, is developed here. The best practices in the industry are abstracted and implemented in the EA. In this paper, the algorithm and its performance for examples with varying complexities are presented. Our results meet or exceed experienced designers solutions. |
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