GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
The thesis is a research on machine layout utilize popular stochastic search algorithm that is genetic algorithm. By genetic algorithm, facility floor made become grid which would be a solution area for machine position. Each cell on the grid had an index, total index is total cell in grid. Each...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/12961 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The thesis is a research on machine layout utilize popular stochastic search algorithm that is genetic algorithm. By genetic algorithm, facility floor made become grid which would be a solution area for machine position. Each cell on the grid had an index, total index is total cell in grid. Each cell on the grid had an index, total index is total cell in grid. Toward chromosome represented in machine position index on grid. Coordinate (x,y) get from simulating machine position convert to position index. Henceforward the index would randomized for calculating distance between machine. The distance is parameter to get cost of material handling as better possibly solution. |
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