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000 nam5i
001 2210080934013
003 DE-He213
005 20250321105319
007 cr nn 008mamaa
008 240416s2024 si | s |||| 0|eng d
020 a97898197227239978-981-97-2272-3
024 a10.1007/978-981-97-2272-32doi
040 a221008
050 aQ334-342
050 aTA347.A78
072 aUYQ2bicssc
072 aCOM0040002bisacsh
072 aUYQ2thema
082 a006.3223
245 00 aBio-Inspired Computing: Theories and Applicationsh[electronic resource] :b18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I /cedited by Linqiang Pan, Yong Wang, Jianqing Lin.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aXX, 399 p. 124 illus., 92 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v2061
505 a -- Evolutionary Computation & Swarm Intelligence. -- Collaborative Scheduling of Multi-cloud Distributed Multi-cloud Tasks based on Evolutionary Multi-tasking Algorithm. -- Transfer Learning based Evolutionary Multi-Task Optimization. -- A Surrogate-based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power. -- MODMOA: A Novel Multi-Objective Optimization Algorithm for Unmanned Aerial Vehicle Path Planning. -- Decomposed Multi-objective Method Based on Q-learning for Solving Multi-objective Combinatorial Optimization. -- Binary Multi-Objective Hybrid Equilibrium Optimizer Algorithm for Microarray Data. -- Difference Vector Angle Dominance with an Angle Threshold for Expensive Multi-objective Optimization. -- A Non-Uniform Clustering Based Evolutionary Algorithm for Solving Large-Scale Sparse Multi-[Objective Optimization. -- An Improved MOEA/D with Pareto Frontier Individual Selection Based on Weight Vector Angles. -- A Two-operator Hybrid DE for Global Numerical Optimization. -- Reinforcement Learning-based Differential Evolution Algorithm with Levy Flight. -- Hierarchical Competitive Differential Evolution for Global Optimization. -- A Hybrid Response Strategy for Dynamic Constrained Multi-objective Optimization. -- An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. -- Multiobjective Biological Survival Optimizer with Application in Engineering Problems. -- Dynamic Constrained Robust Optimization Over Time for Operational Indices of Pre-Oxidation Process. -- Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions. -- A Non Dominant Sorting Algorithm with Dual Population Dynamic Collaboration. -- Dynamic Constrained Multi-Objective Operation Optimization of Blast Furnace Based on Evolutionary Algorithm. -- HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP. -- Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching. -- Membrane Computing & DNA Computing. -- Design and Realization of Encoders Based on Switching Circuit. -- GSA-inspired Computational Nanobiosensing for Cancer Detection. -- Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement. -- Numerical P systems with thresholds and Petri nets. -- An efficient graph theoretic algorithm for channel routing in VLSI design with given constraint graph. -- Extremal Values of Generalized Somber Index in Chemical Graphs. -- Study on the Genetic Links between Type 2 Diabetes Mellitus and Glioma by Bioinformatics. -- An investigation into the use of DNA strand displacement reaction networks for subset sum problem solutions. -- Convolutional Codes Based Index-Free Coding Strategy for High-Density DNA Storage.
520 aThe two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2023, held in Changsha, China, during December 15–17, 2023. The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections: Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA Computing Volume II: Machine Learning and Applications; and Intelligent Control and Application.
650 aArtificial intelligence.
650 aComputer networks .
650 aComputers, Special purpose.
650 aComputer systems.
650 aComputer science.
650 aComputer sciencexMathematics.
650 aArtificial Intelligence.
650 aComputer Communication Networks.
650 aSpecial Purpose and Application-Based Systems.
650 aComputer System Implementation.
650 aTheory of Computation.
650 aMathematics of Computing.
700 aPan, Linqiang.eeditor.0(orcid)0000-0002-4554-455X1https://orcid.org/0000-0002-4554-455X4edt4http://id.loc.gov/vocabulary/relators/edt
700 aWang, Yong.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aLin, Jianqing.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819722716
776 iPrinted edition:z9789819722730
830 aCommunications in Computer and Information Science,x1865-0937 ;v2061
856 uhttps://doi.org/10.1007/978-981-97-2272-3
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Bio-Inspired Computing: Theories and Applications[electronic resource] :18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I /edited by Linqiang Pan, Yong Wang, Jianqing Lin
Material type
전자책
Title
Bio-Inspired Computing: Theories and Applications[electronic resource] :18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I /edited by Linqiang Pan, Yong Wang, Jianqing Lin
Author's Name
판 사항
1st ed. 2024.
Physical Description
XX, 399 p 124 illus, 92 illus in color online resource.
Keyword
The two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2023, held in Changsha, China, during December 15–17, 2023. The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections: Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA Computing Volume II: Machine Learning and Applications; and Intelligent Control and Application.
내용주기
/ Evolutionary Computation & Swarm Intelligence. / Collaborative Scheduling of Multi-cloud Distributed Multi-cloud Tasks based on Evolutionary Multi-tasking Algorithm. / Transfer Learning based Evolutionary Multi-Task Optimization. / A Surrogate-based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power. / MODMOA: A Novel Multi-Objective Optimization Algorithm for Unmanned Aerial Vehicle Path Planning. / Decomposed Multi-objective Method Based on Q-learning for Solving Multi-objective Combinatorial Optimization. / Binary Multi-Objective Hybrid Equilibrium Optimizer Algorithm for Microarray Data. / Difference Vector Angle Dominance with an Angle Threshold for Expensive Multi-objective Optimization. / A Non-Uniform Clustering Based Evolutionary Algorithm for Solving Large-Scale Sparse Multi-[Objective Optimization. / An Improved MOEA/D with Pareto Frontier Individual Selection Based on Weight Vector Angles. / A Two-operator Hybrid DE for Global Numerical Optimization. / Reinforcement Learning-based Differential Evolution Algorithm with Levy Flight. / Hierarchical Competitive Differential Evolution for Global Optimization. / A Hybrid Response Strategy for Dynamic Constrained Multi-objective Optimization. / An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. / Multiobjective Biological Survival Optimizer with Application in Engineering Problems. / Dynamic Constrained Robust Optimization Over Time for Operational Indices of Pre-Oxidation Process. / Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions. / A Non Dominant Sorting Algorithm with Dual Population Dynamic Collaboration. / Dynamic Constrained Multi-Objective Operation Optimization of Blast Furnace Based on Evolutionary Algorithm. / HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP. / Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching. / Membrane Computing & DNA Computing. / Design and Realization of Encoders Based on Switching Circuit. / GSA-inspired Computational Nanobiosensing for Cancer Detection. / Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement. / Numerical P systems with thresholds and Petri nets. / An efficient graph theoretic algorithm for channel routing in VLSI design with given constraint graph. / Extremal Values of Generalized Somber Index in Chemical Graphs. / Study on the Genetic Links between Type 2 Diabetes Mellitus and Glioma by Bioinformatics. / An investigation into the use of DNA strand displacement reaction networks for subset sum problem solutions. / Convolutional Codes Based Index-Free Coding Strategy for High-Density DNA Storage.
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