MARC details
000 -LIDER |
fixed length control field |
07090nam a22006255i 4500 |
001 - CONTROL NUMBER |
control field |
978-981-97-7181-3 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516160123.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240821s2024 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789819771813 |
-- |
978-981-97-7181-3 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA75.5-76.95 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYA |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM014000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYA |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.0151 |
Edition number |
23 |
245 10 - TITLE STATEMENT |
Title |
Advances in Swarm Intelligence |
Medium |
[electronic resource] : |
Remainder of title |
15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part I / |
Statement of responsibility, etc. |
edited by Ying Tan, Yuhui Shi. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2024. |
264 #1 - |
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Singapore : |
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Springer Nature Singapore : |
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Imprint: Springer, |
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2024. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXII, 478 p. 160 illus., 121 illus. in color. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Lecture Notes in Computer Science, |
International Standard Serial Number |
1611-3349 ; |
Volume/sequential designation |
14788 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
-- Particle Swarm Optimization. -- Set-Based Particle Swarm Optimization for the Multi-Objective Multi-Dimensional Knapsack Problem. -- Proposal of a Memory-Based Ensemble Particle Swarm Optimizer. -- A Tri-swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Value. -- A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection. -- Multi-Strategy Enhanced Particle Swarm Optimization Algorithm for Elevator Group Scheduling. -- A Self-Learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion. -- Convolutional Neural Network Architecture Design Using An Improved Surrogate-assisted Particle Swarm Optimization Algorithm. -- Swarm Intelligence Computing. -- Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm. -- A Metabolic Pathway Design Method based on surrogate-assisted Fireworks Algorithm. -- Circle Chaotic Search-Based Butterfly Optimization Algorithm. -- An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-Elite Reverse Learning. -- Enhanced Bacterial Foraging Optimization with Dynamic Disturbance Learning and Bilayer Nested Structure. -- Improved Kepler Optimization Algorithm Based on Mixed Strategy. -- Harmony Search with Dynamic Dimensional-reduction Adjustment Strategy for Large-scale Absolute Value Equation. -- Massive Conscious Neighborhood-based Crow Search Algorithm for the Pseudo-Coloring Problem. -- Multi-Strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization. -- Differential Evolution. -- Fractional Order Differential Evolution to Solve Parameter Estimation Problem of Solar Photovoltaic Models. -- Enhanced Dingo Optimization Algorithm Based on Differential Evolution and Chaotic Mapping for Engineering Optimization. -- Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. -- Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach. -- Evolutionary Algorithms. -- A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping. -- Constructing Robust and Influential Networks against Cascading Failures via a Multi-objective Evolutionary Algorithm. -- Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm. -- Attacking Evolutionary Algorithms via SparseEA. -- Evolutionary Computation with Distance-based Pretreatment for Multimodal Problems. -- Multi-Agent Reinforcement Learning. -- Stock Price Prediction Model Based on Blending Model Improved with Sentiment Factors and Double Q-learning. -- Stock price prediction mdoel integrating an improved NSGA-III with Random Forest. -- Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. -- Diversity Improved Genetic Algorithm for Weapon Target Assignment. -- An Investigation of Underground Rescue Scheduling with Multi-Agent Reinforcement Learning. -- Distributed Advantage-based Weights Reshaping Algorithm with Sparse Reward. -- Multi-objective Optimization. -- A Joint Prediction Strategy based on Multiple Feature Points for Dynamic Multi-objective Optimization. -- An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio. -- Robust Lightweight Neural Network Architecture Search-based on Multi-objective Particle Swarm Optimization. -- Surrogate-Assisted Multi-Objective Evolutionary Algorithm Guided by Multi-Reference Points. -- Multi-objective Path planning of Multiple Unmanned Air Vehicles Using the CCMO Algorithm. -- Multi-UAV Collaborative Detection Based on Reinforcement Learning. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23-26, 2024. The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections: Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization. Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer networks . |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer science |
Subdivisión general |
Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Theory of Computation. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer Engineering and Networks. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Machine Learning. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Mathematics of Computing. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational Intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tan, Ying. |
Relator term |
editor. |
-- |
(orcid)0000-0001-8243-4731 |
-- |
https://orcid.org/0000-0001-8243-4731 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Shi, Yuhui. |
Relator term |
editor. |
-- |
(orcid)0000-0002-8840-723X |
-- |
https://orcid.org/0000-0002-8840-723X |
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 |
Relationship information |
Printed edition: |
International Standard Book Number |
9789819771806 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9789819771820 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Lecture Notes in Computer Science, |
-- |
1611-3349 ; |
Volume number/sequential designation |
14788 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7181-3 |
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ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |