Optimization and Learning (Record no. 185616)

MARC details
000 -LEADER
fixed length control field 05845nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-031-34020-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130142.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031340208
-- 978-3-031-34020-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-34020-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Optimization and Learning
Medium [electronic resource] :
Remainder of title 6th International Conference, OLA 2023, Malaga, Spain, May 3–5, 2023, Proceedings /
Statement of responsibility, etc edited by Bernabé Dorronsoro, Francisco Chicano, Gregoire Danoy, El-Ghazali Talbi.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 428 p. 136 illus., 119 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Communications in Computer and Information Science,
International Standard Serial Number 1865-0937 ;
Volume number/sequential designation 1824
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 -- BinaryBlack 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. .
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Numerical analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Numerical Analysis.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Design and Analysis of Algorithms.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dorronsoro, Bernabé.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chicano, Francisco.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Danoy, Gregoire.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Talbi, El-Ghazali.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031340192
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031340215
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Communications in Computer and Information Science,
-- 1865-0937 ;
Volume number/sequential designation 1824
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-34020-8">https://doi.org/10.1007/978-3-031-34020-8</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

No items available.

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