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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Main Author: INDRIANI WIDIASTUTI (NIM: 23207065), NELLY
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/12961
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:12961
spelling id-itb.:129612017-09-27T15:37:39ZGENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM INDRIANI WIDIASTUTI (NIM: 23207065), NELLY Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/12961 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. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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.
format Theses
author INDRIANI WIDIASTUTI (NIM: 23207065), NELLY
spellingShingle INDRIANI WIDIASTUTI (NIM: 23207065), NELLY
GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
author_facet INDRIANI WIDIASTUTI (NIM: 23207065), NELLY
author_sort INDRIANI WIDIASTUTI (NIM: 23207065), NELLY
title GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
title_short GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
title_full GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
title_fullStr GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
title_full_unstemmed GENETIC ALGORITHM WITH CHROMOSOM ENCODING FOR DIFFERENT SIZE OF MACHINE ON MACHINE LAYOUT PROBLEM
title_sort genetic algorithm with chromosom encoding for different size of machine on machine layout problem
url https://digilib.itb.ac.id/gdl/view/12961
_version_ 1820736054074802176