2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-69796%22&qt=morelikethis&rows=5
2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-69796%22&qt=morelikethis&rows=5
2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T04:06:07-05:00 DEBUG: Deserialized SOLR response
Parallel machines scheduling to minimize the maximum deviation of the completion times of machines from a common due date
Saved in:
Main Authors: | O. A. Pavlov, O. H. Zhdanova, M. O. Sperkach |
---|---|
Format: | Article |
Language: | English |
Published: |
2014
|
Series: | Mathematical and computer modelling. Series: Technical sciences |
Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000231163 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-69796%22&qt=morelikethis
2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-69796%22&qt=morelikethis
2025-02-23T04:06:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T04:06:07-05:00 DEBUG: Deserialized SOLR response
Similar Items
-
Construction of two-stage schedules of processing of products on one machine
by: Ju. A. Zak
Published: (2018) -
Development and implementation of metaheuristic algorithms for solving independent machine scheduling problems
by: V. V. Turinskij
Published: (2015) -
Simulation of induction machines with common solid rotor
by: M. Zablodskiy, et al.
Published: (2018) -
Neural network control of mobile machines with parallel structures
by: S. V. Kovalevskyi, et al.
Published: (2016) -
Minimax deviation strategies for machine learning and recognition with short learning samples
by: M. I. Schlesinger, et al.
Published: (2022)