MIC2026: 16TH METAHEURISTICS INTERNATIONAL CONFERENCE

A
Accorsi, Luca	FILO2xe for Galileo: Linking Multiple FILO2x Extended Runs
Aggoune, Riad	A temperature guided quantum hybrid column generation heuristic for the Agile Sprint Planning Problem
Agushaka, Jeffrey O.	Performance Evaluation of Metaheuristic-Based Routing Strategies in Mobile Ad Hoc Networks
Ait El Cadi, Abdessamad	Q-Learning-Guided Variable Neighborhood Search for Vehicle Routing Problems
Alcaide Catalán, Mario	The Gradual Minimum Covering Location Problem
Alcaraz, Javier	Multi-mode resource-constrained project scheduling problem with time-dependent resource costs and capacities: A bi-objective approach A multi-objective metaheuristic for the multi-skill resource-constrained project scheduling with heterogeneous efficiencies and resource costs
Aloise, Daniel	Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search A GRASP for the minimum variance k-subset problem
Alonso-Ayuso, Antonio	A genetic algorithm approach for the discrete and continuous two-dimensional variable-sized stock problems
Alvarez, Omar	Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Alves, Maria João	Bilevel Optimization for Fair Energy Communities Using a Hybrid Metaheuristic
Ambrosio, Francesco	A Combined Simulation-Based and Relocation Heuristic for Wireless Access Point Localization
Ammouriova, Majsa	Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions.
Anton-Sanchez, Laura	Multi-mode resource-constrained project scheduling problem with time-dependent resource costs and capacities: A bi-objective approach A multi-objective metaheuristic for the multi-skill resource-constrained project scheduling with heterogeneous efficiencies and resource costs
Anıl Akbay, Mehmet	Learning the Savings Values of the Clarke and Wright Heuristic: an Application to the EVRP-RJ-RT
Aranguren, Itzel	Guided Differential Evolution through history sliding population Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Arbaoui, Taha	An Adaptive Large Neighborhood Search For The Automated Guided Vehicle Scheduling With Battery Constraints
Archetti, Claudia	Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems
Aunión, Alejandro	Multi-Objective Basic Variable Neighborhood Search for model inference in software systems
Aydin, Musa	Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search
B
Bacci, Tiziano	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
Balde, Souleymane	Q-Learning-Guided Variable Neighborhood Search for Vehicle Routing Problems
Barrales-Araneda, Alex	Multi-Neighborhood Search for the Train Dispatching Problem
Basseur, Matthieu	Solving the Periodic-TSP Using Lin-Kernighan-Helsgaun-3 Algorithm
Battiti, Roberto	Intelligent Optimization for self-improving reliable Artificial Intelligence
Bazargani, Mosab	Parameter-less Step Counting Hill-Climbing
Behiri, Walid	An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock
Belbachir, Ryan	An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock
Beltran, Luis A.	Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Benavides, Xabier	Fourier Transform-based instance decomposition for k-adic Assignment Problems
Benbouzid-Si Tayeb, Fatima	An Adaptive Large Neighborhood Search For The Automated Guided Vehicle Scheduling With Battery Constraints
Benito-Marimon, Marc	Heuristics for the Periodic Vehicle Routing Problem with Consistency
Bera, Uttam Kumar	Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201
Berraf, Sana	An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock
Better, Marco	Decomposition Strategies for a Large-Scale Multi-Product Barge Inventory Routing Problem
Billot, Romain	Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows
Biswas, Saptadeep	Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201 Quantum-Reinforced Dual-Space Differential Evolution: A Synergistic Integration for Global Optimization
Blaise, Léa	Hexaly, a New Kind of Global Optimization Solver
Blesa, Maria J.	Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem with Heterogeneous Speeds
Blum, Christian	Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem with Heterogeneous Speeds Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms Learning the Savings Values of the Clarke and Wright Heuristic: an Application to the EVRP-RJ-RT irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution CMSA with Reinforcement Learning for the Knapsack Problem with Forfeit Sets
Boccia, Maurizio	AGV Scheduling with Battery Constraints by Multi-Neighborhood Search
Bolufe-Rohler, Antonio	Learning to Steer PSO: A Vectorized RL Framework with Subswarm and Restart Control
Boresta, Marco	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
Boufar, Tarek	Solving the Periodic-TSP Using Lin-Kernighan-Helsgaun-3 Algorithm
Bouillaut, Laurent	An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock
Bruglieri, Maurizio	A Matheuristic for the Electric Vehicle Routing Problem with Time Windows, Multiple Recharge Technologies and a Realistic Energy Consumption Model The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times
C
C. Ribeiro, Celso	Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem
Cacchiani, Valentina	Multi-Neighborhood Search for the Train Dispatching Problem
Calvete, Herminia I.	Efficient Metaheuristic Strategies for the Survivable One-Fault Tolerant-Ring Star Problem
Cao, Wenhua	Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
Carrabs, Francesco	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem A Cluster-First Route-Second Approach for the Multiple Close-Enough Traveling Salesman Problem
Carravilla, Maria Antónia	A genetic algorithm approach for the discrete and continuous two-dimensional variable-sized stock problems
Casas-Ordaz, Angel	Guided Differential Evolution through history sliding population Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Castillo, Dagoberto	Shiftwork Scheduling Problem Incorporating Worker Health and Well-Being conditions under a bi-objective NSGAII approach
Castro, Bruno	A Hybrid Genetic Search for the Inventory Routing Problem
Cavero Díaz, Sergio	Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem Constructive heuristics for the Single Request Virtual Network Embedding Problem Decomposition Strategies for a Large-Scale Multi-Product Barge Inventory Routing Problem
Ceberio, Josu	Fourier Transform-based instance decomposition for k-adic Assignment Problems
Cerrone, Carmine	The Data-Dependent Carousel Greedy Algorithm for the Minimum Vertex Cover Problem Can Large Language Models Solve Combinatorial Optimization Problems? An Experimental Study on the Traveling Salesman Problem
Cerrone, Carmine	A Combined Simulation-Based and Relocation Heuristic for Wireless Access Point Localization
Cerulli, Raffaele	A Cluster-First Route-Second Approach for the Multiple Close-Enough Traveling Salesman Problem
Ceschia, Sara	Multi-Neighborhood Search for the Train Dispatching Problem Impact of temperature-length strategies on Simulated Annealing performance
Chacón Sartori, Camilo	irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution Code World Models for Parameter Control in Evolutionary Algorithms
Chanta, Sunarin	A Comparative Study of Simulated Annealing-Based Methods for the Multi-Objective Hub Location Problem Multi-Objective Ant Colony Optimization Approach for the Traveling Salesman Problem with Profits
Colak, Merve	Inter-Terminal Truck Routing Optimization Using Lookahead-DQN
Colmenar, J. Manuel	A fast metaheuristic for the ordered median tree location problem A Bi-Objective Formulation of the K-Page Crossing Number Minimization Problem A GRASP approach for the Three-Stage Remanufacturing System Scheduling Problem
Cordón, Oscar	Variable Neighborhood Search for the Minimum k-Dominating Set Problem
Corsini, Andrea	A Constructive Heuristic and a Matheuristic for the Distributor's Pallet Loading Problem
Crespi, Carolina	Exploring Parameter Sensitivity and Grouping Strategies in Ant Colony Optimization for Weighted Networks
D
D'Ambrosio, Ciriaco	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem A Cluster-First Route-Second Approach for the Multiple Close-Enough Traveling Salesman Problem
Da Ros, Francesca	Impact of temperature-length strategies on Simulated Annealing performance
Dastpak, Mohsen	Reinforcement Learning for Cost Estimation in Two-Level Combinatorial Decision Problems
de Andrade, Carlos Eduardo	A Non-dominated Sorting Biased Random-Key Genetic Algorithm for the Multi-Objective Physical Cell Identity Assignment Problem
De Vuyst, Stijn	Efficient Algorithms for Energy-Aware Single-Machine Scheduling with Battery Storage
Deleplanque, Samuel	QonSAll: Quantum-Based Resolution of Optimization and Decision Problems via Relaxed Problem Optima A temperature guided quantum hybrid column generation heuristic for the Agile Sprint Planning Problem
Dell'Amico, Mauro	A Constructive Heuristic and a Matheuristic for the Distributor's Pallet Loading Problem
Di Gaspero, Luca	Impact of temperature-length strategies on Simulated Annealing performance
Diaconescu, Teodor A.	A GRASP approach for the Three-Stage Remanufacturing System Scheduling Problem
Dias, Joana	A Decomposition Framework for Mixed-Integer Linear Models with Routing Subproblems Using Simulated Annealing Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
Dik, Sümeyye Zülal	Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search
Doerner, Karl F.	Solution Techniques for the Integrated Problem of Warehouse Operations and Delivery Activities
Dragone, Raffaele	The Data-Dependent Carousel Greedy Algorithm for the Minimum Vertex Cover Problem A Combined Simulation-Based and Relocation Heuristic for Wireless Access Point Localization
Dribel, Oussama	Q-Learning-Guided Variable Neighborhood Search for Vehicle Routing Problems
Duarte, Abraham	A fast metaheuristic for the ordered median tree location problem
E
Errico, Fausto	Reinforcement Learning for Cost Estimation in Two-Level Combinatorial Decision Problems
Escoto, Marc	Simheuristics Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions. Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
Ettahri, Mahacine	A GRASP for the minimum variance k-subset problem
Ezugwu, Absalom E.	Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201 Performance Evaluation of Metaheuristic-Based Routing Strategies in Mobile Ad Hoc Networks Quantum-Reinforced Dual-Space Differential Evolution: A Synergistic Integration for Global Optimization
F
Fadda, Edoardo	The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times
Fahed, Lina	Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows
Faulín, Javier	Simheuristics
Fauste-Jiménez, Raúl	Variable Neighborhood Search for the Minimum k-Dominating Set Problem
Ferone, Daniele	Enhancing Metaheuristics with Kernel Density Estimation: a Statistical Learning Strategy for Smarter Optimization
Festa, Paola	Enhancing Metaheuristics with Kernel Density Estimation: a Statistical Learning Strategy for Smarter Optimization
Forte, Luca	Efficient Algorithms for Energy-Aware Single-Machine Scheduling with Battery Storage
Fujita, Misa	Solving the Steiner Tree Problem in Graphs Using ReLU Chaotic Neural Network
G
Galvis-Chacon, Javier	Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Galé, Carmen	Efficient Metaheuristic Strategies for the Survivable One-Fault Tolerant-Ring Star Problem
Garcia, Álvaro	Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
García Pardo, Eduardo	Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem Constructive heuristics for the Single Request Virtual Network Embedding Problem Multi-Objective Basic Variable Neighborhood Search for model inference in software systems
Gashi, Aurona	The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times
Gentile, Claudio	Subgraph Sampling Scheme heuristics for the solution of the Max-Cut problem
Gesmundo, Fulvio	Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms
Giallombardo, Giovanni	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem
Giraldo-Herrera, Daniel	A Biased Random-Key Genetic Algorithm with Rolling Horizon for the Meal Delivery Routing Problem
Glover, Fred	Effective Metaheuristic Approaches for the Fair Max-Min Diversity Problem
Glover, Fred	Beyond QUBO: Direct Optimization of Higher-Order Binary Models Strategic Oscillation Strategies for Set Covering Problem
Golden, Bruce	The Data-Dependent Carousel Greedy Algorithm for the Minimum Vertex Cover Problem Can Large Language Models Solve Combinatorial Optimization Problems? An Experimental Study on the Traveling Salesman Problem
Gomes, Maria Isabel	A Decomposition Framework for Mixed-Integer Linear Models with Routing Subproblems Using Simulated Annealing
Granata, Donatella	A Combined Simulation-Based and Relocation Heuristic for Wireless Access Point Localization
Guerrero, Antoni	Simheuristics
Guerrero, Antoni	Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions. Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
Guerriero, Francesca	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem
Guo, Fengkai	A Hybrid Chaotic Search Method for Solving CVRP
H
Haddouch, Khalid	Unified Multi-Objective Framework for Simultaneous Feature Selection and MLP Pruning using NSGA-III with Non-Smooth L1/2 Regularization
Hadj Salem, Khadija Alice	A metaheuristic framework for solving the 2D flexible stock x cutting stock problem
Hamdouch, Houssam	Unified Multi-Objective Framework for Simultaneous Feature Selection and MLP Pruning using NSGA-III with Non-Smooth L1/2 Regularization
Hanafi, Said	Strategic Oscillation Strategies for Set Covering Problem
Helo, Petri	A Hybrid Genetic Algorithm for Quality and Emission Aware Perishable Goods Collection
Hemmelmayr, Vera	Multi-Neighborhood Search for the Train Dispatching Problem
Henggeler Antunes, Carlos	Bilevel Optimization for Fair Energy Communities Using a Hybrid Metaheuristic
Hennig, Rick	Beyond QUBO: Direct Optimization of Higher-Order Binary Models Strategic Oscillation Strategies for Set Covering Problem
Hernando, Leticia	Autoencoder-Based Novelty Search for Instance Generation: A Case Study on the Linear Ordering Problem Fourier Transform-based instance decomposition for k-adic Assignment Problems
Hernández, Aitor	Efficient Metaheuristic Strategies for the Survivable One-Fault Tolerant-Ring Star Problem
Herrán, Alberto	A Bi-Objective Formulation of the K-Page Crossing Number Minimization Problem A GRASP approach for the Three-Stage Remanufacturing System Scheduling Problem
Hu, Zongsheng	Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
I
Iacca, Giovanni	Comparing Optimization Models for Radiotherapy Scheduling
Ikeguchi, Tohru	A Hybrid Chaotic Search Method for Solving CVRP
Iranzo, José A.	Efficient Metaheuristic Strategies for the Survivable One-Fault Tolerant-Ring Star Problem
Irastorza, Markel	Autoencoder-Based Novelty Search for Instance Generation: A Case Study on the Linear Ordering Problem
Iurlano, Enrico	A Construct Merge Solve and Adapt Heuristic for Least Cost Influence Maximization
J
Jabali, Ola	Reinforcement Learning for Cost Estimation in Two-Level Combinatorial Decision Problems
Juan, Angel A.	An Iterated Local Search to the Perfect Awareness Problem Simheuristics Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions. Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
Justkowiak, Jan-Erik	A column generation driven heuristic for order-scheduling and rack-sequencing in robotic mobile fulfillment systems
K
Kaya Akçelik, Zeliha	Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search
Keddour, Dina	An Adaptive Large Neighborhood Search For The Automated Guided Vehicle Scheduling With Battery Constraints
Kimura, Takayuki	A Hybrid Chaotic Search Method for Solving CVRP Solving the Steiner Tree Problem in Graphs Using ReLU Chaotic Neural Network Ant Colony Optimization Method Incorporating a Probability Density Function Determination Based on Information Entropy
Kochenberger, Gary	Beyond QUBO: Direct Optimization of Higher-Order Binary Models Strategic Oscillation Strategies for Set Covering Problem
Kotake, Nozomi	Ant Colony Optimization Method Incorporating a Probability Density Function Determination Based on Information Entropy
Koç, Semiha	Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search
Kundačina, Ognjen	CMSA with Reinforcement Learning for the Knapsack Problem with Forfeit Sets
Kuş, Zeki	Triplet-Based Surrogate Assisted Ranking for Multi-objective Neural Architecture Search
L
Laganà, Demetrio	FILO2xe for Galileo: Linking Multiple FILO2x Extended Runs
Laguna, Manuel	How to apply multiparent path relinking Heuristics for the Periodic Vehicle Routing Problem with Consistency Decomposition Strategies for a Large-Scale Multi-Product Barge Inventory Routing Problem
Le, Phuc Dinh	Multi-Objective Ant Colony Optimization Approach for the Traveling Salesman Problem with Profits
Leyman, Pieter	Efficient Algorithms for Energy-Aware Single-Machine Scheduling with Battery Storage
Lin, Steven	Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
Lobo, Fernando	Parameter-less Step Counting Hill-Climbing
Lozano, Jose A.	Autoencoder-Based Novelty Search for Instance Generation: A Case Study on the Linear Ordering Problem Fourier Transform-based instance decomposition for k-adic Assignment Problems
Lozano-Osorio, Isaac	Variable Neighborhood Search for the Minimum k-Dominating Set Problem A fast metaheuristic for the ordered median tree location problem An Iterated Local Search to the Perfect Awareness Problem
Luu, Hai Yen	Multi-Neighborhood Search for the Train Dispatching Problem
López-Sánchez, Ana Dolores	How to apply multiparent path relinking A Case Study of a Transportation Company Modeled as a Scheduling Problem
M
Maduro, Patrícia	A Decomposition Framework for Mixed-Integer Linear Models with Routing Subproblems Using Simulated Annealing
Magnani, Matteo	A Constructive Heuristic and a Matheuristic for the Distributor's Pallet Loading Problem
Mahmud, Riaz	A Hybrid Genetic Algorithm for Quality and Emission Aware Perishable Goods Collection
Mannelli Mazzoli, Tommaso	Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms
Marti, Rafael	Heuristics for the Periodic Vehicle Routing Problem with Consistency
Martinelli, Rafael	A Hybrid Genetic Search for the Inventory Routing Problem
Martí, Rafael	Effective Metaheuristic Approaches for the Fair Max-Min Diversity Problem
Martín-Campo, F. Javier	A genetic algorithm approach for the discrete and continuous two-dimensional variable-sized stock problems
Martín-García, Lucas	A fast metaheuristic for the ordered median tree location problem
Martín-Santamaría, Raúl	How to apply multiparent path relinking Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search
Martínez Gavara, Anna	The Gradual Minimum Covering Location Problem How to apply multiparent path relinking
Martínez-Gavara, Anna	Matheuristic for the multi-source capacitated facility location problem with customer incompatibilities An Iterated Local Search to the Perfect Awareness Problem Effective Metaheuristic Approaches for the Fair Max-Min Diversity Problem Heuristics for the Periodic Vehicle Routing Problem with Consistency
Masone, Adriano	AGV Scheduling with Battery Constraints by Multi-Neighborhood Search
Matsuura, Takafumi	A Hybrid Chaotic Search Method for Solving CVRP Ant Colony Optimization Method Incorporating a Probability Density Function Determination Based on Information Entropy
Mazza, Rina Mary	Exploiting ILS for a Simulation-Optimization framework in 5G Networks
Melián-Batista, Belén	Guided Strategic Oscillation with Reinforcement Learning for the Shared Customer Collaboration Vehicle Routing Problem
Mello da Silva, Diego	A Comparison of Problem-Agnostic and Problem-Specific Decomposition Strategies: CMSA versus RFO for Lot-Sizing and Scheduling
Michelotto, Federico	FILO2xe for Galileo: Linking Multiple FILO2x Extended Runs
Mirjalili, Seyedali	Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201
Mohan, Radhe	Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
Mondal, Subhas	Quantum-Enhanced Chaotic Differential Evolution for Oral Cancer Detection with DenseNet-201
Moreno-Vega, J. Marcos	Guided Strategic Oscillation with Reinforcement Learning for the Shared Customer Collaboration Vehicle Routing Problem
Moretti, Alice	A Matheuristic for the Electric Vehicle Routing Problem with Time Windows, Multiple Recharge Technologies and a Realistic Energy Consumption Model
Murano, Gabriele	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem A Cluster-First Route-Second Approach for the Multiple Close-Enough Traveling Salesman Problem
Musliu, Nysret	Comparing Optimization Models for Radiotherapy Scheduling
Musmanno, Roberto	FILO2xe for Galileo: Linking Multiple FILO2x Extended Runs
N
Nakib, Amir	Unified Multi-Objective Framework for Simultaneous Feature Selection and MLP Pruning using NSGA-III with Non-Smooth L1/2 Regularization
Nebro, Antonio	A Bi-Objective Formulation of the K-Page Crossing Number Minimization Problem
Niño, Karen	Shiftwork Scheduling Problem Incorporating Worker Health and Well-Being conditions under a bi-objective NSGAII approach
O
Odelga, Felix	A Construct Merge Solve and Adapt Heuristic for Least Cost Influence Maximization
Odoh, Samuel I.	Performance Evaluation of Metaheuristic-Based Routing Strategies in Mobile Ad Hoc Networks
Oliva, Diego	Guided Differential Evolution through history sliding population Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Oliveira, José Fernando	A genetic algorithm approach for the discrete and continuous two-dimensional variable-sized stock problems
Olteanu, Alexandru	CVRPLIB BKS Challenge: attempt, defeat and feedback
Ortiz-Bayliss, Jose Carlos	Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
Otsuki, Tomoshi	A Date-Conscious Extension of the Disruption and Repair Method for Shift Scheduling
P
Pammer, Thomas	A window-based matheuristic for the single row facility layout problem
Panadero, Javier	Simheuristics Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions. Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
Paolucci, Massimo	A Matheuristic for the Electric Vehicle Routing Problem with Time Windows, Multiple Recharge Technologies and a Realistic Energy Consumption Model A Scalable Nonlinear Clarke–Wright Savings Method for Bi-Objective Capacitated Vehicle Routing Problem
Pastore, Tommaso	Enhancing Metaheuristics with Kernel Density Estimation: a Statistical Learning Strategy for Smarter Optimization
Pauleti Mendes, Luis Henrique	A Non-dominated Sorting Biased Random-Key Genetic Algorithm for the Multi-Objective Physical Cell Identity Assignment Problem
Pavone, Mario	Exploring Parameter Sensitivity and Grouping Strategies in Ant Colony Optimization for Weighted Networks
Pesch, Erwin	A column generation driven heuristic for order-scheduling and rack-sequencing in robotic mobile fulfillment systems
Petricciuolo, Alessio	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
Peña, Ignacio	Guided Differential Evolution through history sliding population
Pham, Tuan Anh	Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems
Pichon, Adrien	CVRPLIB BKS Challenge: attempt, defeat and feedback
Pinacho Davidson, Pedro	Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms
Pisacane, Ornella	The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times
Pisacane, Ornella	A Matheuristic for the Electric Vehicle Routing Problem with Time Windows, Multiple Recharge Technologies and a Realistic Energy Consumption Model
Poggi, Marcus	A Hybrid Genetic Search for the Inventory Routing Problem
Potena, Domenico	The value of collaborative exchange in the E-VRPTW with Stochastic Waiting Times
Pérez Armas, Luis Fernando	QonSAll: Quantum-Based Resolution of Optimization and Decision Problems via Relaxed Problem Optima A temperature guided quantum hybrid column generation heuristic for the Agile Sprint Planning Problem
Pérez-Corral, Cristian	An Iterated Local Search to the Perfect Awareness Problem
Pérez-Peló, Sergio	Greedy Randomized Adaptive Search Procedure for the Partial Set Covering Problem The Gradual Minimum Covering Location Problem
R
Raidl, Günther	A Construct Merge Solve and Adapt Heuristic for Least Cost Influence Maximization
Ramalhinho Lourenço, Helena	Driving Social Good: How Optimization Enhances Care and Equity
Rambaldi Migliore, Chiara Camilla	Comparing Optimization Models for Radiotherapy Scheduling
Ramos, António	A multi-population BRKGA for the three-dimensional strip packing problem
Rascoussier, Florian	Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows
Reixach, Jaume	Learning the Savings Values of the Clarke and Wright Heuristic: an Application to the EVRP-RJ-RT CMSA with Reinforcement Learning for the Knapsack Problem with Forfeit Sets
Resende, Mauricio G. C.	Random-Key Otimizers: Problem Independent Combinatorial Optimization Using Biased-Randomized Transformers as a Deep Heuristic for Agile Optimization
Reula, Miguel	Matheuristic for the multi-source capacitated facility location problem with customer incompatibilities
Riane, Fouad	Q-Learning-Guided Variable Neighborhood Search for Vehicle Routing Problems
Rifki, Omar	Solving the Periodic-TSP Using Lin-Kernighan-Helsgaun-3 Algorithm
Rinaldi, Giovanni	Subgraph Sampling Scheme heuristics for the solution of the Max-Cut problem
Riordan, Aidan	Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search
Robbes, Alexis	A metaheuristic framework for solving the 2D flexible stock x cutting stock problem A bi-objective time consistent vehicle routing problem for home chemotherapy
Robles, Marcos	Best-improving Local Search using candidate list strategies: An empirical analysis for the Traveling Salesman Problem
Robson Mateus, Geraldo	A Comparison of Problem-Agnostic and Problem-Specific Decomposition Strategies: CMSA versus RFO for Lot-Sizing and Scheduling
Rocha, Humberto	Machine Learning–Driven Objective Function Optimization Using Simulated Annealing
Rodríguez Corominas, Guillem	Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem with Heterogeneous Speeds CMSA with Reinforcement Learning for the Knapsack Problem with Forfeit Sets Code World Models for Parameter Control in Evolutionary Algorithms
Rodríguez-Ballesteros, Sofía	Multi-mode resource-constrained project scheduling problem with time-dependent resource costs and capacities: A bi-objective approach A multi-objective metaheuristic for the multi-skill resource-constrained project scheduling with heterogeneous efficiencies and resource costs
Rosati, Roberto Maria	AGV Scheduling with Battery Constraints by Multi-Neighborhood Search Multi-Neighborhood Search for the Train Dispatching Problem
Roshanizarmehri, Amin	A Scalable Nonlinear Clarke–Wright Savings Method for Bi-Objective Capacitated Vehicle Routing Problem
Roveri, Marco	Comparing Optimization Models for Radiotherapy Scheduling
Russo, Davide Donato	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
S
Saccomanno, Francesco Paolo	A matheuristic approach for the Collision-Free Multiple Close-Enough Arc Routing Problem
Saha, Apu Kumar	Performance Evaluation of Metaheuristic-Based Routing Strategies in Mobile Ad Hoc Networks
Salgado, Esteban	Subgraph Sampling Scheme heuristics for the solution of the Max-Cut problem
Salva, Alessio	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
Same, Allou	An enhanced Genetic Algorithm with RL for a rich routing problem with optional cross-dock
San Felice, Mário César	A Non-dominated Sorting Biased Random-Key Genetic Algorithm for the Multi-Objective Physical Cell Identity Assignment Problem
Sangsawang, Ornurai	A Comparative Study of Simulated Annealing-Based Methods for the Multi-Objective Hub Location Problem Multi-Objective Ant Colony Optimization Approach for the Traveling Salesman Problem with Profits
Schaerf, Andrea	Multi-Neighborhood Search for the Train Dispatching Problem Impact of temperature-length strategies on Simulated Annealing performance
Sciomachen, Anna	A Scalable Nonlinear Clarke–Wright Savings Method for Bi-Objective Capacitated Vehicle Routing Problem
Senhaji, Kaoutar	Unified Multi-Objective Framework for Simultaneous Feature Selection and MLP Pruning using NSGA-III with Non-Smooth L1/2 Regularization
Serrano Roig, Joan	Matheuristic for the multi-source capacitated facility location problem with customer incompatibilities
Sevaux, Marc	CVRPLIB BKS Challenge: attempt, defeat and feedback
Seward, Paul	Learning to Steer PSO: A Vectorized RL Framework with Subswarm and Restart Control
Sinnl, Markus	A window-based matheuristic for the single row facility layout problem
Siverio-González, Juan Aday	Guided Strategic Oscillation with Reinforcement Learning for the Shared Customer Collaboration Vehicle Routing Problem
Soares, Ana	Bilevel Optimization for Fair Energy Communities Using a Hybrid Metaheuristic
Soares, Inês	Bilevel Optimization for Fair Energy Communities Using a Hybrid Metaheuristic
Solnon, Christine	Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows CVRPLIB BKS Challenge: attempt, defeat and feedback
Somalo, Olga	Greedy Randomized Adaptive Search Procedure for the Partial Set Covering Problem
Stanicel, David	Comparing Optimization Models for Radiotherapy Scheduling
Stecca, Giuseppe	A Pruning-Aided Resource-Constrained Search Algorithm for the Weight Constrained Shortest Path Problem with Applications to Urban Digital Twins
Sterle, Claudio	AGV Scheduling with Battery Constraints by Multi-Neighborhood Search
Sudoso, Antonio	A GRASP for the minimum variance k-subset problem
Suzuki, Ayaka	A Date-Conscious Extension of the Disruption and Repair Method for Shift Scheduling
Sánchez, Oscar D.	Guided Differential Evolution through history sliding population
Sánchez Díaz, Jorge	Constructive heuristics for the Single Request Virtual Network Embedding Problem
Sánchez-Oro, Jesús	Variable Neighborhood Search for the Minimum k-Dominating Set Problem Greedy Randomized Adaptive Search Procedure for the Partial Set Covering Problem A Case Study of a Transportation Company Modeled as a Scheduling Problem
Sörensen, Kenneth	From algorithmic competition to empirical science: a new metaheuristics paradigm
T
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Winter, Felix	Advancing the 2-Optimality Motif Finding problem: new benchmarks and efficient algorithms
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Zambrano-Gutierrez, Daniel F.	Large Language Models for Automatic Algorithm Configuration - An Empirical Study on Black-Box Optimization
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