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- W2157946286 abstract "The design of an automobile fixture system should meet several interference-free requirements while locating fixture positions, e.g. (1) interference-free among various fixture modules, (2) interference-free among work pieces and fixture modules during clipping and moving and (3) interference-free among machining tools and fixture modules. Furthermore, a good design also needs to minimize the cost by selecting proper fixtures from the existed modular fixtures under clip-force limitations in the specification. To achieve multiple complex constraints and cost-minimum requirement, real-coded genetic algorithm (RGA) is proposed to resolve the optimum problem. Comparing to the traditional try-and-error method, the design based on this work is obviously cost-effective and time-saving by cutting down the total deign time and fixture assembling time due to the capability of finding more precise and complete solution." @default.
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- W2157946286 date "2007-09-01" @default.
- W2157946286 modified "2023-10-17" @default.
- W2157946286 title "Intelligent Design of Automobile Fixtures with Genetic Algorithms" @default.
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- W2157946286 doi "https://doi.org/10.1109/icicic.2007.359" @default.
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