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

Herausgeber

Linqiang Pan + weitere

Verlag

Springer Singapore

Seitenzahl

399

Maße (L/B/H)

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

Gewicht

633 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9722-71-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.04.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

399

Maße (L/B/H)

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

Gewicht

633 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9722-71-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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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.

    .- 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.