2025-02-23T00:05:51-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-133972%22&qt=morelikethis&rows=5
2025-02-23T00:05:51-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-133972%22&qt=morelikethis&rows=5
2025-02-23T00:05:51-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:05:51-05:00 DEBUG: Deserialized SOLR response
Multiagent Heuristic Algorithms for Solving Problems of Slope Reinforcement Parameters Optimization
Problem of finding optimized placement of bored concrete piles to reinforce soil slope has been considered. Processes in soil were modelled by two-dimensional strain-stress model which takes filtration processes into account. Genetic and particle swarm optimization algorithms were used to find optim...
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| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Інститут кібернетики ім. В.М. Глушкова НАН України
2017
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| Series: | Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/133972 |
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