Simulated annealing approach in solving the minimax problem with fixed line barrier

Minimax location model is a class of location problems in which customers need the facility especially in emergency situation. The objective of this problem is to minimize the maximum distance between facility and the existing customers. The facility can be hospital, fire station and military servic...

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मुख्य लेखक: Tuan Mahmud, Tuan Mariam
स्वरूप: थीसिस
भाषा:अंग्रेज़ी
प्रकाशित: 2013
विषय:
ऑनलाइन पहुंच:http://eprints.utm.my/33280/1/TuanMariamTuanMahmudMFS2013.pdf
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author Tuan Mahmud, Tuan Mariam
author_facet Tuan Mahmud, Tuan Mariam
author_sort Tuan Mahmud, Tuan Mariam
description Minimax location model is a class of location problems in which customers need the facility especially in emergency situation. The objective of this problem is to minimize the maximum distance between facility and the existing customers. The facility can be hospital, fire station and military service. This study involves fixed line barrier where the customers need to go through the passage on the barrier in order to move from one point to another point if necessary. Examples of line barrier are rivers, lakes and mountains. The single-facility problem is solved exactly by solving the MINLP problem using LINGO. Simulated Annealing approach is used in order to solve the multi-facility problem, coded using C++ programming. The procedure of SA algorithm is provided. The results for single facility and multi-facility problems are provided.
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spelling uthm-332802017-09-18T07:13:39Z http://eprints.utm.my/33280/ Simulated annealing approach in solving the minimax problem with fixed line barrier Tuan Mahmud, Tuan Mariam QA75 Electronic computers. Computer science Minimax location model is a class of location problems in which customers need the facility especially in emergency situation. The objective of this problem is to minimize the maximum distance between facility and the existing customers. The facility can be hospital, fire station and military service. This study involves fixed line barrier where the customers need to go through the passage on the barrier in order to move from one point to another point if necessary. Examples of line barrier are rivers, lakes and mountains. The single-facility problem is solved exactly by solving the MINLP problem using LINGO. Simulated Annealing approach is used in order to solve the multi-facility problem, coded using C++ programming. The procedure of SA algorithm is provided. The results for single facility and multi-facility problems are provided. 2013-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/33280/1/TuanMariamTuanMahmudMFS2013.pdf Tuan Mahmud, Tuan Mariam (2013) Simulated annealing approach in solving the minimax problem with fixed line barrier. Masters thesis, Universiti Teknologi Malaysia, Faculty of Science.
spellingShingle QA75 Electronic computers. Computer science
Tuan Mahmud, Tuan Mariam
Simulated annealing approach in solving the minimax problem with fixed line barrier
title Simulated annealing approach in solving the minimax problem with fixed line barrier
title_full Simulated annealing approach in solving the minimax problem with fixed line barrier
title_fullStr Simulated annealing approach in solving the minimax problem with fixed line barrier
title_full_unstemmed Simulated annealing approach in solving the minimax problem with fixed line barrier
title_short Simulated annealing approach in solving the minimax problem with fixed line barrier
title_sort simulated annealing approach in solving the minimax problem with fixed line barrier
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/33280/1/TuanMariamTuanMahmudMFS2013.pdf
url-record http://eprints.utm.my/33280/
work_keys_str_mv AT tuanmahmudtuanmariam simulatedannealingapproachinsolvingtheminimaxproblemwithfixedlinebarrier