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Bio-Inspired Computing: Theories and Applications 18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.04.2024

Abbildungen

XX, 399 p. 124 illus., 92 illus. in color.

Herausgeber

Linqiang Pan + weitere

Verlag

Springer Singapore

Seitenzahl

399

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9722-71-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.04.2024

Abbildungen

XX, 399 p. 124 illus., 92 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

399

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9722-71-6

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Bio-Inspired Computing: Theories and Applications
  • Produktbild: 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.


    .- 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.


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    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.