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Produktbild: Advances in Swarm Intelligence
Band 14788

Advances in Swarm Intelligence 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Herausgeber

Ying Tan + weitere

Verlag

Springer Singapore

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

750 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9771-80-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

750 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9771-80-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Advances in Swarm Intelligence

  • .- Particle Swarm Optimization.

    .- Set-Based Particle Swarm Optimization for the Multi-Objective Multi-Dimensional Knapsack Problem.

    .- Proposal of a Memory-Based Ensemble Particle Swarm Optimizer.

    .- A Tri-swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Value.

    .- A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection.

    .- Multi-Strategy Enhanced Particle Swarm Optimization Algorithm for Elevator Group Scheduling.

    .- A Self-Learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion.

    .- Convolutional Neural Network Architecture Design Using An Improved Surrogate-assisted Particle Swarm Optimization Algorithm.

    .- Swarm Intelligence Computing.

    .- Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm.

    .- A Metabolic Pathway Design Method based on surrogate-assisted Fireworks Algorithm.

    .- Circle Chaotic Search-Based Butterfly Optimization Algorithm.

    .- An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-Elite Reverse Learning.

    .- Enhanced Bacterial Foraging Optimization with Dynamic Disturbance Learning and Bilayer Nested Structure.

    .- Improved Kepler Optimization Algorithm Based on Mixed Strategy.

    .- Harmony Search with Dynamic Dimensional-reduction Adjustment Strategy for Large-scale Absolute Value Equation.

    .- Massive Conscious Neighborhood-based Crow Search Algorithm for the Pseudo-Coloring Problem.

    .- Multi-Strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization.

    .- Differential Evolution.

    .- Fractional Order Differential Evolution to Solve Parameter Estimation Problem of Solar Photovoltaic Models.

    .- Enhanced Dingo Optimization Algorithm Based on Differential Evolution and Chaotic Mapping for Engineering Optimization.

    .- Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine.

    .- Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach.

    .- Evolutionary Algorithms.

    .- A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping.

    .- Constructing Robust and Influential Networks against Cascading Failures via a Multi-objective Evolutionary Algorithm.

    .- Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm.

    .- Attacking Evolutionary Algorithms via SparseEA.

    .- Evolutionary Computation with Distance-based Pretreatment for Multimodal Problems.

    .- Multi-Agent Reinforcement Learning.

    .- Stock Price Prediction Model Based on Blending Model Improved with Sentiment Factors and Double Q-learning.

    .- Stock price prediction mdoel integrating an improved NSGA-III with Random Forest.

    .- Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming.

    .- Diversity Improved Genetic Algorithm for Weapon Target Assignment.

    .- An Investigation of Underground Rescue Scheduling with Multi-Agent Reinforcement Learning.

    .- Distributed Advantage-based Weights Reshaping Algorithm with Sparse Reward.

    .- Multi-objective Optimization.

    .- A Joint Prediction Strategy based on Multiple Feature Points for Dynamic Multi-objective Optimization.

    .- An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio.

    .- Robust Lightweight Neural Network Architecture Search-based on Multi-objective Particle Swarm Optimization.

    .- Surrogate-Assisted Multi-Objective Evolutionary Algorithm Guided by Multi-Reference Points.

    .- Multi-objective Path planning of Multiple Unmanned Air Vehicles Using the CCMO Algorithm.

    .- Multi-UAV Collaborative Detection Based on Reinforcement Learning.