PROGRAM
Days: Monday, June 8th Tuesday, June 9th Wednesday, June 10th Thursday, June 11th
Monday, June 8th
View this program: with abstractssession overviewtalk overview
09:00-09:30 Session 1: Opening
Location: Pithecusa
09:30-10:30 Session 2A: Routing and Logistics I
Chair:
Location: Pithecusa
| 09:30 | A Cluster-First Route-Second Approach for the Multiple Close-Enough Traveling Salesman Problem (abstract) |
| 09:50 | Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem with Heterogeneous Speeds (abstract) PRESENTER: Guillem Rodríguez Corominas |
| 10:10 | Multi-Objective Ant Colony Optimization Approach for the Traveling Salesman Problem with Profits (abstract) |
09:30-10:30 Session 2B: Decomposition and Search Structures
Chair:
Location: Primavera
| 09:30 | Parameter-less Step Counting Hill-Climbing (abstract) |
| 09:50 | Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms (abstract) PRESENTER: Tommaso Mannelli Mazzoli |
| 10:10 | Fourier Transform-based instance decomposition for k-adic Assignment Problems (abstract) |
11:00-13:00 Session 3A: Scheduling and Planning I
Chair:
Location: Pithecusa
| 11:00 | Multi-mode resource-constrained project scheduling problem with time-dependent resource costs and capacities: A bi-objective approach (abstract) |
| 11:20 | A multi-objective metaheuristic for the multi-skill resource-constrained project scheduling with heterogeneous efficiencies and resource costs (abstract) |
| 11:40 | A Date-Conscious Extension of the Disruption and Repair Method for Shift Scheduling (abstract) |
| 12:00 | A Case Study of a Transportation Company Modeled as a Scheduling Problem (abstract) |
| 12:20 | Comparing Optimization Models for Radiotherapy Scheduling (abstract) |
| 12:40 | A GRASP approach for the Three-Stage Remanufacturing System Scheduling Problem (abstract) |
11:00-13:00 Session 3B: Learning and Automated Design I
Chair:
Location: Primavera
| 11:00 | Can Large Language Models Solve Combinatorial Optimization Problems? An Experimental Study on the Traveling Salesman Problem (abstract) |
| 11:20 | Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search (abstract) |
| 11:40 | irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution (abstract) PRESENTER: Camilo Chacón Sartori |
| 12:00 | Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization (abstract) |
| 12:20 | Code World Models for Parameter Control in Evolutionary Algorithms (abstract) |
| 12:40 | LLM-Guided Genetic Programming for Automated Constructive Heuristic Design: An Application to the Set Packing Problem (abstract) |
14:30-15:30 Session 4: Invited talk by Helena Ramalhinho Lourenço
Chair:
Location: Pithecusa
| 14:30 | Driving Social Good: How Optimization Enhances Care and Equity (abstract) |
16:00-18:00 Session 5A: Routing and Logistics II
Chair:
Location: Pithecusa
| 16:00 | Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems (abstract) |
| 16:20 | A Biased Random-Key Genetic Algorithm with Rolling Horizon for the Meal Delivery Routing Problem (abstract) |
| 16:40 | A Hybrid Genetic Search for the Inventory Routing Problem (abstract) |
| 17:00 | An Adaptive Large Neighbourhood Search for the Selective Multi-Commodity Pickup and Delivery Traveling Salesman Problem (abstract) |
| 17:20 | A Hybrid Genetic Algorithm for Quality and Emission Aware Perishable Goods Collection (abstract) |
| 17:40 | Guided Strategic Oscillation with Reinforcement Learning for the Shared Customer Collaboration Vehicle Routing Problem (abstract) |
16:00-18:00 Session 5B: Learning and Automated Design II
Chair:
Location: Primavera
| 16:00 | Learning to Steer PSO: A Vectorized RL Framework with Subswarm and Restart Control (abstract) |
| 16:20 | Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search (abstract) |
| 16:40 | Unified Multi-Objective Framework for Simultaneous Feature Selection and MLP Pruning using NSGA-III with Non-Smooth L1/2 Regularization (abstract) |
| 17:00 | Impact of temperature-length strategies on Simulated Annealing performance (abstract) |
| 17:20 | Enhancing Metaheuristics with Kernel Density Estimation: a Statistical Learning Strategy for Smarter Optimization (abstract) PRESENTER: Tommaso Pastore |
| 17:40 | Reinforcement Learning for Cost Estimation in Two-Level Combinatorial Decision Problems (abstract) |
Tuesday, June 9th
View this program: with abstractssession overviewtalk overview
08:30-10:30 Session 6A: Location and Facility Design
Chair:
Location: Pithecusa
| 08:30 | Matheuristic for the multi-source capacitated facility location problem with customer incompatibilities (abstract) |
| 08:50 | A window-based matheuristic for the single row facility layout problem (abstract) |
| 09:10 | Efficient Metaheuristic Strategies for the Survivable One-Fault Tolerant-Ring Star Problem (abstract) |
| 09:30 | A fast metaheuristic for the ordered median tree location problem (abstract) |
| 09:50 | The Gradual Minimum Covering Location Problem (abstract) |
| 10:10 | A Bi-Objective Formulation of the K-Page Crossing Number Minimization Problem (abstract) |
08:30-10:30 Session 6B: Routing and Logistics III
Chair:
Location: Primavera
| 08:30 | A column generation driven heuristic for order-scheduling and rack-sequencing in robotic mobile fulfillment systems (abstract) |
| 08:50 | A Decomposition Framework for Mixed-Integer Linear Models with Routing Subproblems Using Simulated Annealing (abstract) |
| 09:10 | Inter-Terminal Truck Routing Optimization Using Lookahead-DQN (abstract) |
| 09:30 | A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins (abstract) |
| 09:50 | Solution Techniques for the Integrated Problem of Warehouse Operations and Delivery Activities (abstract) |
| 10:10 | FILO2xe for Galileo: Linking Multiple FILO2x Extended Runs (abstract) |
11:00-12:00 Session 7: Tutorial by Roberto Battiti
Chair:
Location: Pithecusa
| 11:00 | Intelligent Optimization for self-improving reliable Artificial Intelligence (abstract) |
12:00-13:00 Session 8A: Special Sessions on Discrete and Quantum-Inspired Metaheuristics I
Chair:
Location: Pithecusa
| 12:00 | Heuristics for the Periodic Vehicle Routing Problem with Consistency (abstract) |
| 12:20 | CMSA with Reinforcement Learning for the Knapsack Problem with Forfeit Sets (abstract) |
| 12:40 | Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201 (abstract) PRESENTER: Subhas Mondal |
12:00-13:00 Session 8B: Cutting and Packing
Chair:
Location: Primavera
| 12:00 | A multi-population BRKGA for the three-dimensional strip packing problem (abstract) |
| 12:20 | A genetic algorithm approach for the discrete and continuous two-dimensional variable-sized stock problems (abstract) |
| 12:40 | A Constructive Heuristic and a Matheuristic for the Distributor's Pallet Loading Problem (abstract) |
14:30-15:30 Session 9: Hexaly industrial talk
Chair:
Location: Pithecusa
| 14:30 | Hexaly, a New Kind of Global Optimization Solver (abstract) |
Wednesday, June 10th
View this program: with abstractssession overviewtalk overview
08:30-10:30 Session 10A: Routing and Logistics IV
Chair:
Location: Pithecusa
| 08:30 | A Matheuristic for the Electric Vehicle Routing Problem with Time Windows, Multiple Recharge Technologies and a Realistic Energy Consumption Model (abstract) |
| 08:50 | The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times (abstract) |
| 09:10 | A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem (abstract) PRESENTER: Francesco Paolo Saccomanno |
| 09:30 | Q-Learning-Guided Variable Neighborhood Search for Vehicle Routing Problems (abstract) |
| 09:50 | Learning the Savings Values of the Clarke and Wright Heuristic: an Application to the EVRP-RJ-RT (abstract) |
| 10:10 | An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock (abstract) |
08:30-10:30 Session 10B: Metaheuristic Design I
Location: Primavera
| 08:30 | A Non-dominated Sorting Biased Random-Key Genetic Algorithm for the Multi-Objective Physical Cell Identity Assignment Problem (abstract) |
| 08:50 | Bilevel Optimization for Fair Energy Communities Using a Hybrid Metaheuristic (abstract) |
| 09:10 | Guided Differential Evolution through history sliding population (abstract) |
| 09:30 | Autoencoder-Based Novelty Search for Instance Generation: A Case Study on the Linear Ordering Problem (abstract) |
| 09:50 | Exploring Parameter Sensitivity and Grouping Strategies in Ant Colony Optimization for Weighted Networks (abstract) |
| 10:10 | How to apply multiparent path relinking (abstract) |
11:00-13:00 Session 11A: Graph and Network Optimization I
Chair:
Location: Pithecusa
| 11:00 | An Iterated Local Search to the Perfect Awareness Problem (abstract) |
| 11:20 | A Construct Merge Solve and Adapt Heuristic for Least Cost Influence Maximization (abstract) |
| 11:40 | Effective Metaheuristic Approaches for the Fair Max-Min Diversity Problem (abstract) |
| 12:00 | Exploiting ILS for a Simulation-Optimization framework in 5G Networks (abstract) |
| 12:20 | A GRASP for the minimum variance k-subset problem (abstract) |
| 12:40 | Performance Evaluation of Metaheuristic-Based Routing Strategies in Mobile Ad Hoc Networks (abstract) PRESENTER: Jeffrey O. Agushaka |
11:00-13:00 Session 11B: Special Sessions on Simheuristics, Learnheuristics and Data-Driven Search
Chair:
Location: Primavera
| 11:00 | Simheuristics (abstract) |
| 11:20 | Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions. (abstract) |
| 11:40 | Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization (abstract) |
| 12:00 | A metaheuristic framework for solving the 2D flexible stock x cutting stock problem (abstract) |
| 12:20 | A Combined Simulation-Based and Relocation Heuristic for Wireless Access Point Localization (abstract) |
| 12:40 | A bi-objective time consistent vehicle routing problem for home chemotherapy (abstract) |
14:30-15:30 Session 12: Invited talk by Kenneth Sörensen
Chair:
Location: Pithecusa
| 14:30 | From algorithmic competition to empirical science: a new metaheuristics paradigm (abstract) |
16:00-18:00 Session 13A: Scheduling and Planning II
Chair:
Location: Pithecusa
| 16:00 | AGV Scheduling with Battery Constraints by Multi-Neighborhood Search (abstract) |
| 16:20 | Multi-Neighborhood Search for the Train Dispatching Problem (abstract) |
| 16:40 | Efficient Algorithms for Energy-Aware Single-Machine Scheduling with Battery Storage (abstract) |
| 17:00 | A Comparison of Problem-Agnostic and Problem-Specific Decomposition Strategies: CMSA versus RFO for Lot-Sizing and Scheduling (abstract) |
| 17:20 | An Adaptive Large Neighborhood Search For The Automated Guided Vehicle Scheduling With Battery Constraints (abstract) |
| 17:40 | Shiftwork Scheduling Problem Incorporating Worker Health and Well-Being conditions under a bi-objective NSGAII approach (abstract) |
16:00-18:00 Session 13B: Special Sessions on Discrete and Quantum-Inspired Metaheuristics II
Chair:
Location: Primavera
| 16:00 | Beyond QUBO: Direct Optimization of Higher-Order Binary Models (abstract) |
| 16:20 | Strategic Oscillation Strategies for Set Covering Problem (abstract) |
| 16:40 | Ant Colony Optimization Method Incorporating a Probability Density Function Determination Based on Information Entropy (abstract) |
| 17:00 | A temperature guided quantum hybrid column generation heuristic for the Agile Sprint Planning Problem (abstract) |
| 17:20 | Decomposition Strategies for a Large-Scale Multi-Product Barge Inventory Routing Problem (abstract) |
| 17:40 | Quantum-Reinforced Dual-Space Differential Evolution: A Synergistic Integration for Global Optimization (abstract) PRESENTER: Saptadeep Biswas |
Thursday, June 11th
View this program: with abstractssession overviewtalk overview
08:30-10:30 Session 14A: Routing and Logistics V
Chair:
Location: Pithecusa
| 08:30 | A Scalable Nonlinear Clarke–Wright Savings Method for Bi-Objective Capacitated Vehicle Routing Problem (abstract) |
| 08:50 | A Hybrid Chaotic Search Method for Solving CVRP (abstract) |
| 09:10 | Solving the Periodic-TSP Using Lin-Kernighan-Helsgaun-3 Algorithm (abstract) PRESENTER: Tarek Boufar |
| 09:30 | Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem (abstract) |
| 09:50 | Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows (abstract) PRESENTER: Florian Rascoussier |
| 10:10 | CVRPLIB BKS Challenge: attempt, defeat and feedback (abstract) PRESENTER: Marc Sevaux |
08:30-10:30 Session 14B: Graph and Network Optimization II
Chair:
Location: Primavera
| 08:30 | Variable Neighborhood Search for the Minimum k-Dominating Set Problem (abstract) |
| 08:50 | Subgraph Sampling Scheme heuristics for the solution of the Max-Cut problem (abstract) |
| 09:10 | The Data-Dependent Carousel Greedy Algorithm for the Minimum Vertex Cover Problem (abstract) |
| 09:30 | Greedy Randomized Adaptive Search Procedure for the Partial Set Covering Problem (abstract) |
| 09:50 | A Comparative Study of Simulated Annealing-Based Methods for the Multi-Objective Hub Location Problem (abstract) |
11:00-12:00 Session 15: Tutorial by Mauricio G. C. Resende
Chair:
Location: Pithecusa
| 11:00 | Random-Key Otimizers: Problem Independent Combinatorial Optimization (abstract) |
12:00-13:00 Session 16A: Learning and Automated Design III
Chair:
Location: Pithecusa
| 12:00 | Machine Learning–Driven Objective Function Optimization Using Simulated Annealing (abstract) |
| 12:20 | Solving the Steiner Tree Problem in Graphs Using ReLU Chaotic Neural Network (abstract) |
| 12:40 | 3DHybrid: A Transformer-Based Framework with Cross-Frame Interaction for Monocular Human Pose Estimation (abstract) |
12:00-13:00 Session 16B: Metaheuristic Design II
Location: Primavera
| 12:00 | Constructive heuristics for the Single Request Virtual Network Embedding Problem (abstract) |
| 12:20 | QonSAll: Quantum-Based Resolution of Optimization and Decision Problems via Relaxed Problem Optima (abstract) PRESENTER: Samuel Deleplanque |
| 12:40 | Multi-Objective Basic Variable Neighborhood Search for model inference in software systems (abstract) |
13:00-13:30 Session 17: Closing
Location: Pithecusa