Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | Genetti, Stefano, Ribaga, Eros, Cunegatti, Elia, Lotito, Quintino Francesco, Iacca, Giovanni |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time
by: Cunegatti, Elia, et al.
Published: (2024)
by: Cunegatti, Elia, et al.
Published: (2024)
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
by: Genetti, Stefano, et al.
Published: (2025)
by: Genetti, Stefano, et al.
Published: (2025)
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
by: Qu, Xilong, et al.
Published: (2024)
by: Qu, Xilong, et al.
Published: (2024)
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization
by: Wang, Qianshi, et al.
Published: (2026)
by: Wang, Qianshi, et al.
Published: (2026)
Neuron-centric Hebbian Learning
by: Ferigo, Andrea, et al.
Published: (2024)
by: Ferigo, Andrea, et al.
Published: (2024)
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks
by: Wang, Chao, et al.
Published: (2022)
by: Wang, Chao, et al.
Published: (2022)
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
by: Chen, Wenjie, et al.
Published: (2023)
by: Chen, Wenjie, et al.
Published: (2023)
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
by: Paoletti, Giordano, et al.
Published: (2023)
by: Paoletti, Giordano, et al.
Published: (2023)
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
by: Custode, Leonardo Lucio, et al.
Published: (2024)
by: Custode, Leonardo Lucio, et al.
Published: (2024)
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
by: Yu, Shanqing, et al.
Published: (2024)
by: Yu, Shanqing, et al.
Published: (2024)
A Census-Based Genetic Algorithm for Target Set Selection Problem in Social Networks
by: Rahman, Md. Samiur, et al.
Published: (2024)
by: Rahman, Md. Samiur, et al.
Published: (2024)
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
by: Hömberg, Tomoya, et al.
Published: (2024)
by: Hömberg, Tomoya, et al.
Published: (2024)
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
by: Tran, Cong, et al.
Published: (2021)
by: Tran, Cong, et al.
Published: (2021)
On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)
by: Tang, Menghao, et al.
Published: (2026)
Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection
by: Wu, Kai, et al.
Published: (2022)
by: Wu, Kai, et al.
Published: (2022)
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
A Comparison-Relationship-Surrogate Evolutionary Algorithm for Multi-Objective Optimization
by: Pierce, Christopher M., et al.
Published: (2025)
by: Pierce, Christopher M., et al.
Published: (2025)
The Effect of Training Schedules on Morphological Robustness and Generalization
by: Barba, Edoardo, et al.
Published: (2024)
by: Barba, Edoardo, et al.
Published: (2024)
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
by: Bian, Chao, et al.
Published: (2024)
by: Bian, Chao, et al.
Published: (2024)
Economic Analysis and Optimization of Energy Storage Configuration for Park Power Systems Based on Random Forest and Genetic Algorithm
by: Song, Yanghui, et al.
Published: (2025)
by: Song, Yanghui, et al.
Published: (2025)
Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)
by: Do, Anh Viet, et al.
Published: (2024)
First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
by: Li, Mingfeng, et al.
Published: (2026)
by: Li, Mingfeng, et al.
Published: (2026)
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
by: Cai, Jinyu, et al.
Published: (2025)
by: Cai, Jinyu, et al.
Published: (2025)
Routing-Led Evolutionary Algorithm for Large-Scale Multi-Objective VNF Placement Problems
by: Mao, Peili, et al.
Published: (2025)
by: Mao, Peili, et al.
Published: (2025)
Unnoticeable Community Deception via Multi-objective Optimization
by: Fang, Junyuan, et al.
Published: (2025)
by: Fang, Junyuan, et al.
Published: (2025)
Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)
by: Zheng, Ruihao, et al.
Published: (2025)
Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
by: Pinto, Conrado Catarcione, et al.
Published: (2025)
by: Pinto, Conrado Catarcione, et al.
Published: (2025)
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)
by: Wietheger, Simon, et al.
Published: (2024)
Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem
by: Perera, Kokila Kasuni, et al.
Published: (2024)
by: Perera, Kokila Kasuni, et al.
Published: (2024)
General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization
by: Wang, Zhiyuan, et al.
Published: (2026)
by: Wang, Zhiyuan, et al.
Published: (2026)
Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data
by: Rumi, Shakila Khan, et al.
Published: (2020)
by: Rumi, Shakila Khan, et al.
Published: (2020)
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
by: Doyle-Finch, Gabriel, et al.
Published: (2025)
by: Doyle-Finch, Gabriel, et al.
Published: (2025)
On the Use of Bi-Objective Evolutionary Algorithms for the Stochastic MKP under Dynamic Constraints
by: Pathiranage, Ishara Hewa, et al.
Published: (2026)
by: Pathiranage, Ishara Hewa, et al.
Published: (2026)
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization
by: Falcón-Cardona, Jesús Guillermo, et al.
Published: (2024)
by: Falcón-Cardona, Jesús Guillermo, et al.
Published: (2024)
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
by: Neumann, Frank, et al.
Published: (2021)
by: Neumann, Frank, et al.
Published: (2021)
Symbiotic Connectivity: Optimizing Rural Digital Infrastructure with Solar-Powered Mesh Networks Using Multi-Objective Evolutionary Algorithms
by: Benitez, Yadira Sanchez
Published: (2024)
by: Benitez, Yadira Sanchez
Published: (2024)
Integrating Chaotic Evolutionary and Local Search Techniques in Decision Space for Enhanced Evolutionary Multi-Objective Optimization
by: Meng, Xiang
Published: (2024)
by: Meng, Xiang
Published: (2024)
Weak Pareto Boundary: The Achilles' Heel of Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)
by: Zheng, Ruihao, et al.
Published: (2025)
MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
by: Truică, Ciprian-Octavian, et al.
Published: (2023)
by: Truică, Ciprian-Octavian, et al.
Published: (2023)
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
by: Vermetten, Diederick, et al.
Published: (2024)
by: Vermetten, Diederick, et al.
Published: (2024)
Similar Items
-
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time
by: Cunegatti, Elia, et al.
Published: (2024) -
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
by: Genetti, Stefano, et al.
Published: (2025) -
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
by: Qu, Xilong, et al.
Published: (2024) -
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization
by: Wang, Qianshi, et al.
Published: (2026) -
Neuron-centric Hebbian Learning
by: Ferigo, Andrea, et al.
Published: (2024)