Latest Research in Game Theory and Voting Systems
14 research papers · 2026 median publication year
Top Research Topics in Game Theory and Voting Systems
- Scheduling and Optimization Algorithms — 4 papers
- Vehicle Routing Optimization Methods — 3 papers
- Game Theory and Voting Systems — 1 papers
- Optimization and Control — 1 papers
- Maritime Navigation and Safety — 1 papers
- Computational Engineering, Finance, and Science — 1 papers
- Data Structures and Algorithms — 1 papers
- Maritime Ports and Logistics — 1 papers
- Supply Chain and Inventory Management — 1 papers
Highest-Cited Papers
- Constrained distributed heterogeneous two-facility location problems with max-variant cost
- Multi-knowledge driven distributed heterogeneous co-evolution for fuzzy distributed assembly flowshop deadlock-free scheduling
- HMA-PPO for Integrated Production and Preventive Maintenance Scheduling in Distributed Flexible Job Shops with Job Arrivals
- Asymmetric Weighted Earliness-Tardiness: Scheduling with a Nonrestrictive Common Due Date
- DCEML: USV anomaly detection via Dual-Channel Explainable Multimodal Learning
- Node-Shift-Encoding Genetic Algorithm with fuzzy-enhanced reference tour to solve the bi-objective service-oriented TSP
- A hybrid memetic algorithm for an energy-aware distributed blocking hybrid flowshop scheduling problem with transportation time
- Approximation algorithms for the square min-sum bin packing problem
- Minimising total completion time in no-wait flow shop scheduling with learning effects and group technology
- Advanced Optimization Methods for the Knapsack, Traveling Salesman, and Close-Enough Traveling Salesman Problems: A Survey and Case Studies
- Comparative Analysis of Deep Reinforcement Learning Algorithms for Container Terminal Stowage Planning Information Systems: PPO, DQN, and SAC
- Small boundary: a family of linear-time greedy heuristics for the minimum linear arrangement problem
- Cooperative co-evolution with adaptive decomposition schemes for large scale capacitated electric vehicle routing problem
- Multi-Agent Reinforcement Learning for Dynamic Inventory Rebalancing and Last-Mile Fulfillment Under Supply Chain Disruptions