MOHAF: A Multi-Objective Hierarchical Auction Framework for Scalable and Fair Resource Allocation in IoT Ecosystems
Fuente:
arXiv
Saved in:
| Main Authors: | Agrawal, Kushagra, Goktas, Polat, Bandopadhyay, Anjan, Ghosh, Debolina, Jena, Junali Jasmine, Gourisaria, Mahendra Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Orchestration for Multi-Agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-Domain Task Environments
by: Agrawal, Kushagra, et al.
Published: (2025)
by: Agrawal, Kushagra, et al.
Published: (2025)
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
by: Zhao, Zifan, et al.
Published: (2026)
by: Zhao, Zifan, et al.
Published: (2026)
A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)
by: Shang, Ke, et al.
Published: (2026)
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)
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
by: Hong, Haokai, et al.
Published: (2023)
by: Hong, Haokai, et al.
Published: (2023)
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation
by: Sun, Pei-Fa, et al.
Published: (2024)
by: Sun, Pei-Fa, et al.
Published: (2024)
Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
by: Guo, Weian, et al.
Published: (2024)
by: Guo, Weian, et al.
Published: (2024)
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
by: Bakir, Volkan, et al.
Published: (2025)
by: Bakir, Volkan, et al.
Published: (2025)
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
by: Dhakad, Narendra Singh, et al.
Published: (2024)
by: Dhakad, Narendra Singh, et al.
Published: (2024)
Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
by: Muñoz-Valero, David, et al.
Published: (2025)
by: Muñoz-Valero, David, et al.
Published: (2025)
Constrained Multi-Objective Genetic Algorithm Variants for Design and Optimization of Tri-Band Microstrip Patch Antenna loaded CSRR for IoT Applications: A Comparative Case Study
by: Boulaich, Moahmed Hamza, et al.
Published: (2026)
by: Boulaich, Moahmed Hamza, et al.
Published: (2026)
Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)
by: Zheng, Ruihao, et al.
Published: (2025)
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
by: Ahsan, Mohammad Shamim, et al.
Published: (2025)
by: Ahsan, Mohammad Shamim, et al.
Published: (2025)
HERMES: Heterogeneous Application-Enabled Routing Middleware for Edge-IoT Systems
by: Consciência, Jéssica, et al.
Published: (2025)
by: Consciência, Jéssica, et al.
Published: (2025)
Monaas: Mobile Node as a Service for TSCH-based Industrial IoT Networks
by: Liu, Jinting, et al.
Published: (2026)
by: Liu, Jinting, et al.
Published: (2026)
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
by: Amarasinghe, Pivithuru Thejan, et al.
Published: (2024)
by: Amarasinghe, Pivithuru Thejan, et al.
Published: (2024)
Time-Fair Benchmarking for Metaheuristics: A Restart-Fair Protocol for Fixed-Time Comparisons
by: Lian, Junbo Jacob
Published: (2025)
by: Lian, Junbo Jacob
Published: (2025)
Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)
by: Do, Anh Viet, et al.
Published: (2024)
On the Robustness of Lexicase Selection to Contradictory Objectives
by: Shahbandegan, Shakiba, et al.
Published: (2024)
by: Shahbandegan, Shakiba, et al.
Published: (2024)
Mode Connectivity in Auction Design
by: Hertrich, Christoph, et al.
Published: (2023)
by: Hertrich, Christoph, et al.
Published: (2023)
Multi-Objective Covariance Matrix Adaptation MAP-Annealing
by: Zhao, Shihan, et al.
Published: (2025)
by: Zhao, Shihan, et al.
Published: (2025)
Adaptive Exploration in Lenia with Intrinsic Multi-Objective Ranking
by: Lorantos, Niko, et al.
Published: (2025)
by: Lorantos, Niko, et al.
Published: (2025)
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
by: Zheng, Weijie, et al.
Published: (2023)
by: Zheng, Weijie, et al.
Published: (2023)
An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization
by: Lei, Ru, et al.
Published: (2024)
by: Lei, Ru, et al.
Published: (2024)
Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)
by: Wietheger, Simon, et al.
Published: (2024)
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)
Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
by: Doerr, Benjamin, et al.
Published: (2025)
by: Doerr, Benjamin, et al.
Published: (2025)
Random is Faster than Systematic in Multi-Objective Local Search
by: Liang, Zimin, et al.
Published: (2026)
by: Liang, Zimin, et al.
Published: (2026)
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
by: Cheng, Ji, et al.
Published: (2025)
by: Cheng, Ji, et al.
Published: (2025)
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems
by: Rashed, Noor A., et al.
Published: (2024)
by: Rashed, Noor A., et al.
Published: (2024)
Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)
by: Lyu, Huanbo, et al.
Published: (2025)
Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
by: Sroka, Grzegorz, et al.
Published: (2025)
by: Sroka, Grzegorz, et al.
Published: (2025)
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
by: Alsouly, Hanan, et al.
Published: (2022)
by: Alsouly, Hanan, et al.
Published: (2022)
Autonomous Multi-Objective Optimization Using Large Language Model
by: Huang, Yuxiao, et al.
Published: (2024)
by: Huang, Yuxiao, et al.
Published: (2024)
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
by: Saini, Anil K., et al.
Published: (2025)
by: Saini, Anil K., et al.
Published: (2025)
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO
by: Heidari, Arash, et al.
Published: (2024)
by: Heidari, Arash, 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)
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)
Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization
by: Glasmachers, Tobias
Published: (2024)
by: Glasmachers, Tobias
Published: (2024)
Similar Items
-
Neural Orchestration for Multi-Agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-Domain Task Environments
by: Agrawal, Kushagra, et al.
Published: (2025) -
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
by: Zhao, Zifan, et al.
Published: (2026) -
A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026) -
On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026) -
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
by: Hong, Haokai, et al.
Published: (2023)