Bio-Inspired Computing: Theories and Applications

18th International Conference, BIC-TA 2023, Changsha, China, December 15¿17, 2023, Revised Selected Papers, Part I
Herausgegeben:Pan, Linqiang; Wang, Yong; Lin, Jianqing

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2061
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-2271-6
• 2024
• Seitenzahl: 420
• Erscheinungstermin: 17. April 2024
• Englisch
• Abmessung: 235mm x 155mm x 23mm
• Gewicht: 634g
• ISBN-13: 9789819722716
• ISBN-10: 9819722713
• Artikelnr.: 70118512

Inhaltsangabe

.- 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.