15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23¿26, 2024, Proceedings, Part I Herausgegeben:Tan, Ying; Shi, Yuhui
15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23¿26, 2024, Proceedings, Part I Herausgegeben:Tan, Ying; Shi, Yuhui
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23-26, 2024. The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections: Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective…mehr
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23-26, 2024.
The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:
Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.
Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.
.- 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.
.- 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.
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