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on1346157075 |
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OCoLC |
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20240623213015.0 |
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m o d |
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cr cnu---unuuu |
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220928s2022 sz a o 101 0 eng d |
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|a GW5XE
|b eng
|e rda
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|c GW5XE
|d YDX
|d EBLCP
|d OCLCF
|d OCLCQ
|d WSU
|d OCLCO
|d OCLCL
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| 019 |
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|a 1345053468
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| 020 |
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|a 9783031068393
|q (electronic bk.)
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|a 3031068394
|q (electronic bk.)
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|z 9783031068386
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|z 3031068386
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| 024 |
7 |
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|a 10.1007/978-3-031-06839-3
|2 doi
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| 035 |
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|a (OCoLC)1346157075
|z (OCoLC)1345053468
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4 |
|a Q342
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| 072 |
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|a UYQ
|2 bicssc
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|a TEC009000
|2 bisacsh
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|a UYQ
|2 thema
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| 049 |
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|a HCDD
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| 111 |
2 |
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|a Workshop on Computational Optimization
|d (2021)
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| 245 |
1 |
0 |
|a Recent advances in computational optimization :
|b results of the Workshop on Computational Optimization WCO 2021 /
|c Stefka Fidanova, editor.
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| 246 |
3 |
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|a WCO 2021
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| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c 2022.
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| 300 |
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|a 1 online resource :
|b illustrations (black and white, and color).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in computational intelligence ;
|v volume 1044
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| 505 |
0 |
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|a Learning to Optimize -- Optimal seating assignment in the COVID-19 era via Quantum Computing -- Hybrid Ant Colony Optimization Algorithms Behaviour Investigation Based on Intuitionistic Fuzzy Logic -- Scheduling algorithms for single machine problem with release and delivery times -- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework -- Contemporary Bioprocesses Control Algorithms for Educational Purposes -- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning -- Rather "good in, good out" than "garbage in, garbage out": A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.
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| 520 |
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|a This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
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| 500 |
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|a Includes author index.
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| 588 |
0 |
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|a Print version record.
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| 650 |
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0 |
|a Computational intelligence
|v Congresses.
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| 650 |
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|a Mathematical optimization
|v Congresses.
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| 650 |
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7 |
|a Computational intelligence
|2 fast
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| 650 |
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7 |
|a Mathematical optimization
|2 fast
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| 655 |
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|a Electronic books.
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
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7 |
|a Conference papers and proceedings
|2 fast
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Fidanova, Stefka,
|d 1964-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjyBdMvYFqdVYYchHm6c8C
|1 https://isni.org/isni/0000000409914925
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| 776 |
0 |
8 |
|i Print version:
|t Recent advances in computational optimization.
|d Cham : Springer, 2022
|z 9783031068386
|w (OCoLC)1338682228
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| 830 |
|
0 |
|a Studies in computational intelligence ;
|v v. 1044.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-06839-3
|y Click for online access
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| 903 |
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|a SPRING-ROBOTICS2022
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| 994 |
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|a 92
|b HCD
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