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Produktbild: Advances in Swarm Intelligence
Band 14788 - 17%

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
17% sparen

72,99 € UVP 87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Abbildungen

XXII, 478 p. 160 illus., 121 illus. in color.

Herausgeber

Ying Tan + weitere

Verlag

Springer Singapore

Seitenzahl

478

Maße (L/B/H)

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

Gewicht

750 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9771-80-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Abbildungen

XXII, 478 p. 160 illus., 121 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

478

Maße (L/B/H)

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

Gewicht

750 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9771-80-6

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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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.