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on1380764695 |
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OCoLC |
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20240909213021.0 |
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m o d |
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230531s2023 sz a o 101 0 eng d |
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|a 1380744266
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|a 9783031340208
|q (electronic bk.)
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|a 3031340205
|q (electronic bk.)
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|z 9783031340192
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|z 3031340191
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|a 10.1007/978-3-031-34020-8
|2 doi
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|a (OCoLC)1380764695
|z (OCoLC)1380744266
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|a Q342
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|a UYQ
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|a HCDD
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| 111 |
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|a OLA (Conference)
|n (6th :
|d 2023 :
|c Malaga, Spain)
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| 245 |
1 |
0 |
|a Optimization and learning :
|b 6th International Conference, OLA 2023, Malaga, Spain, May 3-5, 2023, Proceedings /
|c Bernabé Dorronsoro, Francisco Chicano, Gregoire Danoy, El-Ghazali Talbi, editors.
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| 246 |
3 |
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|a OLA 2023
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| 264 |
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1 |
|a Cham :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource (xiv, 428 pages) :
|b illustrations (some 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 Communications in computer and information science,
|x 1865-0937 ;
|v 1824
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| 505 |
0 |
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|a Advanced Optimization -- A comparative study of fractal-based decomposition optimization -- Diagonal Barzilai-Borwein rules in stochastic gradient-like methods -- Algorithm Selection for Large-Scale Multi-objective Optimization -- Solving a Multi-Objective Jop Shop Scheduling Problem With An Automatically Configured Evolutionary Algorithm -- Solving the Nurse Scheduling Problem using the Whale Optimization Algorithm -- A hierarchical Cooperative Coevolutionary approach to solve Very Large-scale Traveling Salesman Problem -- Tornado: An Autonomous Chaotic Algorithm For High Dimensional Global Optimization Problems -- Learning -- Neural Network Information Leakage through Hidden Learning -- Mixing Data Augmentation Methods for Semantic Segmentation -- Real-time elastic partial shape matching using a neural network-based adjoint method -- We won't get fooled again: when performance metric malfunction affects the landscape of hyperparameter optimization problems -- Condition-based maintenance optimization under large action space with deep reinforcement learning method -- Learning methods to enhance optimization tools -- An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem -- Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution -- Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic -- Multi-objective optimization of adhesive bonding process in constrained and noisy settings -- Evaluating Surrogate Models for Robot Swarm Simulations -- Interactive Job Scheduling with Partially Known Personnel Availabilities -- Multi-Armed Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm binarization case -- Optimization applied to learning methods -- Binary Black Widow with Hill Climbing Algorithm for Feature Selection -- Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers -- Partial K-means with M outliers: Mathematical programs and complexity results -- An optimization approach for optimizing PRIM's randomly generated rules using the Genetic Algorithm -- Real-world Applications -- A fast methodology to find Decisively Strong Association Rules (DSR) -- Characterization and categorization of software programs on x86 architectures -- Robot-Assisted Delivery problems and Their Exact Solutions -- Modeling and analysis of organizational network analysis graphs based on employee data -- Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities -- E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case -- Automatic Generation of Subtitles for Videos of the Government of La Rioja -- Estimation of the distribution of Body Mass Index (BMI) with sparse and low-quality data. The case of the Chilean adult population -- A New Automated Customer Prioritization Method.
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| 520 |
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|a This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3-5, 2023. The 32 full papers included in this book were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: advanced optimization; learning; learning methods to enhance optimization tools; optimization applied to learning methods; and real-world applications.
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| 500 |
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|a Includes author index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed May 31, 2023).
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| 650 |
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0 |
|a Computational intelligence
|v Congresses.
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| 650 |
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0 |
|a Mathematical optimization
|v Congresses.
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| 650 |
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0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
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7 |
|a Artificial intelligence
|2 fast
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| 650 |
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7 |
|a Computational intelligence
|2 fast
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| 650 |
|
7 |
|a Mathematical optimization
|2 fast
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| 655 |
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0 |
|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 |
|
7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Dorronsoro, Bernabé,
|e editor.
|1 https://orcid.org/0000-0003-0481-790X
|
| 700 |
1 |
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|a Chicano, Francisco,
|e editor.
|1 https://orcid.org/0000-0003-1259-2990
|
| 700 |
1 |
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|a Danoy, Grégoire,
|d 1979-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjKGgwRvJ87KtpRyk3cxwy
|1 https://orcid.org/0000-0001-9419-4210
|
| 700 |
1 |
|
|a Talbi, El-Ghazali,
|d 1965-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjxPxHXw9RyP9hr9VXVYdP
|1 https://orcid.org/0000-0003-4549-1010
|
| 776 |
0 |
8 |
|c Original
|z 3031340191
|z 9783031340192
|w (OCoLC)1377661282
|
| 830 |
|
0 |
|a Communications in computer and information science ;
|v 1824.
|x 1865-0937
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-34020-8
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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