Bio-Inspired Computing: Theories and Applications
18th International Conference, BIC-TA 2023, Changsha, China, December 15-17, 2023, Revised Selected Papers, Part I
(Sprache: Englisch)
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,...
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Klappentext zu „Bio-Inspired Computing: Theories and Applications “
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.
Inhaltsverzeichnis zu „Bio-Inspired Computing: Theories and Applications “
.- 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.
... mehr
.- 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.
.- 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.
... weniger
Bibliographische Angaben
- 2024, 2024, XX, 399 Seiten, 92 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Linqiang Pan, Yong Wang, Jianqing Lin
- Verlag: Springer, Berlin
- ISBN-10: 9819722713
- ISBN-13: 9789819722716
Sprache:
Englisch
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