Route Selection Problem Based on Hopfield Neural Network
Transport network is a key factor of economic, social and every other form of development in the region and the state itself. One of the main conditions for transport network development is the construction of new routes. Often, the construction of regional roads is dominant, since the design and co...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2013-12-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2013/13_04_1182_1193.pdf |
| _version_ | 1811302608334225408 |
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| author | N. Kojic I. Reljin B. Reljin |
| author_facet | N. Kojic I. Reljin B. Reljin |
| author_sort | N. Kojic |
| collection | DOAJ |
| description | Transport network is a key factor of economic, social and every other form of development in the region and the state itself. One of the main conditions for transport network development is the construction of new routes. Often, the construction of regional roads is dominant, since the design and construction in urban areas is quite limited. The process of analysis and planning the new roads is a complex process that depends on many factors (the physical characteristics of the terrain, the economic situation, political decisions, environmental impact, etc.) and can take several months. These factors directly or indirectly affect the final solution, and in combination with project limitations and requirements, sometimes can be mutually opposed. In this paper, we present one software solution that aims to find Pareto optimal path for preliminary design of the new roadway. The proposed algorithm is based on many different factors (physical and social) with the ability of their increase. This solution is implemented using Hopfield's neural network, as a kind of artificial intelligence, which has shown very good results for solving complex optimization problems. |
| first_indexed | 2024-04-13T07:31:05Z |
| format | Article |
| id | doaj.art-532f3eab90304eea942213a9d5ff27b0 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-04-13T07:31:05Z |
| publishDate | 2013-12-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-532f3eab90304eea942213a9d5ff27b02022-12-22T02:56:20ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122013-12-0122411821193Route Selection Problem Based on Hopfield Neural NetworkN. KojicI. ReljinB. ReljinTransport network is a key factor of economic, social and every other form of development in the region and the state itself. One of the main conditions for transport network development is the construction of new routes. Often, the construction of regional roads is dominant, since the design and construction in urban areas is quite limited. The process of analysis and planning the new roads is a complex process that depends on many factors (the physical characteristics of the terrain, the economic situation, political decisions, environmental impact, etc.) and can take several months. These factors directly or indirectly affect the final solution, and in combination with project limitations and requirements, sometimes can be mutually opposed. In this paper, we present one software solution that aims to find Pareto optimal path for preliminary design of the new roadway. The proposed algorithm is based on many different factors (physical and social) with the ability of their increase. This solution is implemented using Hopfield's neural network, as a kind of artificial intelligence, which has shown very good results for solving complex optimization problems.www.radioeng.cz/fulltexts/2013/13_04_1182_1193.pdfTransport network planningroute selection problemneural networkartificial intelligence |
| spellingShingle | N. Kojic I. Reljin B. Reljin Route Selection Problem Based on Hopfield Neural Network Radioengineering Transport network planning route selection problem neural network artificial intelligence |
| title | Route Selection Problem Based on Hopfield Neural Network |
| title_full | Route Selection Problem Based on Hopfield Neural Network |
| title_fullStr | Route Selection Problem Based on Hopfield Neural Network |
| title_full_unstemmed | Route Selection Problem Based on Hopfield Neural Network |
| title_short | Route Selection Problem Based on Hopfield Neural Network |
| title_sort | route selection problem based on hopfield neural network |
| topic | Transport network planning route selection problem neural network artificial intelligence |
| url | http://www.radioeng.cz/fulltexts/2013/13_04_1182_1193.pdf |
| work_keys_str_mv | AT nkojic routeselectionproblembasedonhopfieldneuralnetwork AT ireljin routeselectionproblembasedonhopfieldneuralnetwork AT breljin routeselectionproblembasedonhopfieldneuralnetwork |