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    <subfield code="a"> -- 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.</subfield>
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    <subfield code="a">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&#x2013;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 &amp; Multi-objective optimization. Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization &amp; Analysis of review.</subfield>
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