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001438232 019__ $$a1266809540
001438232 020__ $$a9783030787431$$q(electronic bk.)
001438232 020__ $$a3030787435$$q(electronic bk.)
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001438232 0247_ $$a10.1007/978-3-030-78743-1$$2doi
001438232 035__ $$aSP(OCoLC)1260346637
001438232 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dOCLCO$$dOCLCF$$dDCT$$dOCLCQ
001438232 049__ $$aISEA
001438232 050_4 $$aQ337.3$$b.I28 2021eb
001438232 08204 $$a006.3/824$$223
001438232 1112_ $$aICSI (Conference)$$n(12th :$$d2021 :$$cQingdao, China ; Online)
001438232 24510 $$aAdvances in swarm intelligence :$$b12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I /$$cYing Tan, Yuhui Shi (eds.).
001438232 2463_ $$aICSI 2021
001438232 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001438232 300__ $$a1 online resource (589 pages)
001438232 336__ $$atext$$btxt$$2rdacontent
001438232 337__ $$acomputer$$bc$$2rdamedia
001438232 338__ $$aonline resource$$bcr$$2rdacarrier
001438232 347__ $$atext file
001438232 347__ $$bPDF
001438232 4901_ $$aLecture notes in computer science ;$$v12689
001438232 4901_ $$aLNCS sublibrary, SL 1, Theoretical computer science and general issues
001438232 500__ $$a"The Twelfth International International Conference on Swarm Intelligence (ICSI 2021) held during July 17-21, 2021, in Qingdao, China, both on-site and online"--Preface
001438232 500__ $$aA Novel Physarum-Based Optimization Algorithm for Shortest Path.
001438232 500__ $$aIncludes author index.
001438232 504__ $$aReferences-Metaheuristic Optimization on Tensor-Type Solution via Swarm Intelligence and Its Application in the Profit Optimization in Designing Selling Scheme-1 Introduction-2 A Brief Review of PSO and SIB-3 Method and Implementation-4 Applications-5 Conclusion-References-An Improved Dragonfly Algorithm Based on Angle Modulation Mechanism for Solving 0-1 Knapsack Problems-1 Introduction-2 Dragonfly Algorithm-3 Improved Angle Modulated Dragonfly Algorithm (IAMDA)-3.1 AMDA-3.2 IAMDA-4 Experimental Results and Discussion-5 Conclusions-References.
001438232 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Swarm Intelligence and Nature-Inspired Computing -- Swarm Unit Digital Control System Simulation -- 1 Introduction -- 2 Features of Von Neumann Computer Control -- 3 Semi-Markov Model of DC Operation -- 4 Example of Control System Analysis -- 5 Conclusion -- References -- Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams -- 1 Introduction -- 2 Related Work -- 2.1 Multi-agent Reinforcement Learning -- 2.2 Multi-agent Environments -- 3 Method
001438232 5058_ $$a3.1 Modeling Observation of Opponents -- 3.2 Modeling Interactions with Teammates -- 3.3 Policy -- 3.4 Scalability and Real World Applicability -- 3.5 Training -- 4 Environment -- 4.1 Observation Space -- 4.2 Action Space -- 4.3 Reward Structure -- 5 Results -- 5.1 Evolution of Strategies -- 5.2 Being Attentive -- 5.3 Ensemble Strategies -- 6 Conclusions -- References -- Analysis of Security Problems in Groups of Intelligent Sensors -- 1 Introduction -- 2 Analysis of Information Security Problems of the Internet of Things as a Group with Swarm Intelligence -- 3 Exploitation Vulnerabilities
001438232 5058_ $$a4 Internet of Things and Lightweight Cryptography -- 5 The Tiny Encryption Algorithm Cipher Description -- 6 Speck Cipher Description -- 7 Experimental Research of Encryption Algorithms -- 8 Conclusion -- References -- Optimization of a High-Lift Mechanism Motion Generation Synthesis Using MHS -- 1 Introduction -- 2 High-Lift Mechanism -- 3 Optimization Problem and Constraint Handling -- 4 The Design Results -- 5 Conclusion and Discussion -- References -- Liminal Tones: Swarm Aesthetics and Materiality in Sound Art -- 1 Introduction -- 2 Methods -- 2.1 Concept -- 2.2 Model -- 3 Results
001438232 5058_ $$a4 Discussion and Future Works -- 4.1 Order and Chaos -- Sound as Emergence -- 4.2 Future Works -- References -- Study on the Random Factor of Firefly Algorithm -- 1 Introduction -- 2 Review of FA -- 2.1 Algorithm Idea -- 2.2 Model Analysis of FA -- 3 Research on the Random Factor Control Method of FA -- 3.1 Problem Analysis -- 3.2 New Control Method for the Random Factor -- 4 Experimental Results -- 4.1 Experiment Design -- 4.2 Results Analysis -- 4.3 Comparison with Other Decreasing Control Methods -- 4.4 Performance Comparison with Other Swarm Intelligence Algorithms -- 5 Conclusion
001438232 506__ $$aAccess limited to authorized users.
001438232 520__ $$aThis two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
001438232 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 20, 2021).
001438232 650_0 $$aSwarm intelligence$$vCongresses.
001438232 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001438232 655_0 $$aElectronic books.
001438232 7001_ $$aTan, Ying,$$d1964-
001438232 7001_ $$aShi, Yuhui.
001438232 77608 $$iPrint version:$$aTan, Ying.$$tAdvances in Swarm Intelligence.$$dCham : Springer International Publishing AG, ©2021$$z9783030787424
001438232 830_0 $$aLecture notes in computer science ;$$v12689.
001438232 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
001438232 852__ $$bebk
001438232 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-78743-1$$zOnline Access$$91397441.1
001438232 909CO $$ooai:library.usi.edu:1438232$$pGLOBAL_SET
001438232 980__ $$aBIB
001438232 980__ $$aEBOOK
001438232 982__ $$aEbook
001438232 983__ $$aOnline
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