Latest Research in Optimization and Control
14 research papers · 2026 median publication year
Top Research Topics in Optimization and Control
- Scheduling and Optimization Algorithms — 5 papers
- Optimization and Control — 2 papers
- Manufacturing Process and Optimization — 1 papers
- Artificial Intelligence — 1 papers
- Vehicle Routing Optimization Methods — 1 papers
- UAV Applications and Optimization — 1 papers
- Optimization and Search Problems — 1 papers
- Resource-Constrained Project Scheduling — 1 papers
- Data Structures and Algorithms — 1 papers
Highest-Cited Papers
- An enhanced NSGA-II with Q-learning and VNS for multi-objective scheduling in additive manufacturing
- An LLM-assisted optimization algorithm for energy-efficient flexible job shop scheduling problem with unreliable machines and AGVs
- Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
- On optimal minmax group scheduling with resource allocation and common due-window
- RouteRepair: Instance-Level Failure Diagnosis and Targeted Repair in LLM-Based Automated Heuristic Design for Routing Optimization
- A Constraint-Aware Cuckoo Search Metaheuristic for Resource-Limited Production Scheduling and Makespan Minimization
- Optimal and approximated path planning for a robot moving on aisle-graphs
- Automated Priority Rule Design for the Resource-Constrained Project Scheduling Problem: A Large Language Model-Guided Population-Based Search
- Complexity analysis of the Line-TSP with Drone Transports
- An infeasible domain memetic algorithm for the assembly job shop scheduling with part sharing
- A Note on On-Line Scheduling of Unit Jobs with Rejection to Minimize the Squared Makespan
- An Adaptive Co-Evolutionary Memetic Algorithm for a Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup and Transportation Times
- Multi-Criteria Decision Support for Fairness-Aware Coordination in Distributed Resource-Constrained Multi-Project Scheduling
- Minimizing Completion Times of Stochastic Jobs on Parallel Machines is Hard