yusuke1997/dblp-id-title huggingface dataset:
Adaptive GVNS Heuristics for Solving the Pollution Location Inventory Routing Problem
Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance
Neighborhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoner's Dilemma Game
Clause Sharing in Parallel MaxSAT
Racing with a Fixed Budget and a Self-Adaptive Significance Level
A Matheuristic Approach for the p-Cable Trench Problem
Randomized Greedy Sampling for JSSP
An Approximate-and-Optimize Method for Security-Constrained AC Optimal Power Flow
Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows
Exact Algorithms for Two Quadratic Euclidean Problems of Searching for the Largest Subset and Longest Subsequence
Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks
Using Racing to Automatically Configure Algorithms for Scaling Performance
The Sandpile Mutation Operator for Genetic Algorithms
Hyperion - A Recursive Hyper-Heuristic Framework
Algorithm Selection on Adaptive Operator Selection: A Case Study on Genetic Algorithms
An Experimental Study of Adaptive Capping in irace
Learning and Intelligent Optimization - 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers
A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem
Early Detection of Eating Disorders Through Machine Learning Techniques
Learning the Quality of Dispatch Heuristics Generated by Automated Programming
Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem
Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection
Packing Hypertrees and the k-cut Problem in Hypergraphs
CGD: Modifying the Loss Landscape by Gradient Regularization
A Novel Solution Encoding in the Differential Evolution Algorithm for Optimizing Tourist Trip Design Problems
Structure-Preserving Instance Generation
A Software Interface for Supporting the Application of Data Science to Optimisation
From Design of Experiments to Combinatorics of Disasters: A Conceptual Framework for Disaster Exercises
How to Trust Generative Probabilistic Models for Time-Series Data?
The Problem of the Hospital Surgery Department Debottlenecking
Active Learning Based Framework for Image Captioning Corpus Creation
A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems
Projection Approach Versus Gradient Descent for Network's Flows Assignment Problem
The Shortest Simple Path Problem with a Fixed Number of Must-Pass Nodes: A Problem-Specific Branch-and-Bound Algorithm
Least Correntropic Loss Regression
Network Vulnerability Analysis in Wasserstein Spaces
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers
Finding an Evolutionary Solution to the Game of Mastermind with Good Scaling Behavior
The BeMi Stardust: A Structured Ensemble of Binarized Neural Networks
Algorithm Configuration in the Unified Planning Framework
Tuning Local Search by Average-Reward Reinforcement Learning
Unsupervised Training for Neural TSP Solver
Asymptotically Optimal Algorithms for the Prize-Collecting Traveling Salesman Problem on Random Inputs
Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search
A Hybrid Clonal Selection Algorithm for the Vehicle Routing Problem with Stochastic Demands
Distribution of Computational Effort in Parallel MOEA/D
Distance Functions, Clustering Algorithms and Microarray Data Analysis
Programming by Optimisation Meets Parameterised Algorithmics: A Case Study for Cluster Editing
Learning and Intelligent Optimization - 19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I
Airport Digital Twins for Resilient Disaster Management Response
Creating a Multi-iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming
Optimization by ℓ1-Constrained Markov Fitness Modelling
A Learning Optimization Algorithm in Graph Theory - Versatile Search for Extremal Graphs Using a Learning Algorithm
Auto-sktime: Automated Time Series Forecasting
Spirometry-Based Airways Disease Simulation and Recognition Using Machine Learning Approaches
Learning a Reactive Restart Strategy to Improve Stochastic Search
Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation
Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning
Community Detection in Social and Biological Networks Using Differential Evolution
C2VRPTW: Assigning Capacity to Vehicles and Nodes in a Vehicle Routing Problem for Real-World Delivery Application
Learning and Intelligent Optimization - 17th International Conference, LION 17, Nice, France, June 4-8, 2023, Revised Selected Papers
A New Local Search for the p-Center Problem Based on the Critical Vertex Concept
Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast
Solving GENOPT Problems with the Use of ExaMin Solver
Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models
Addressing Over-Fitting in Passive Constraint Acquisition Through Active Learning
Autoregressive RL Approach for Mixed-Integer Linear Programs
CMF: A Combinatorial Tool to Find Composite Motifs
The EvA2 Optimization Framework
Search and Score-Based Waterfall Auction Optimization
On Learning When to Decompose Graphical Models
BERT Self-Learning Approach with Limited Labels for Document Classification
Decomposition Descent Method for Limit Optimization Problems
Reusing the Same Coloring in the Child Nodes of the Search Tree for the Maximum Clique Problem
Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization
Evaluating Instance Generators by Configuration
Online Stacking Using RL with Positional and Tactical Features
Intelligent Pump Scheduling Optimization in Water Distribution Networks
Duality Gap Analysis of Weak Relaxed Greedy Algorithms
Hyper-Reactive Tabu Search for MaxSAT
Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flow-Shop Problem
Inverse Lighting with Differentiable Physically-Based Model
A Vector Assignment Approach for the Graph Coloring Problem
Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search
An Effective Heuristic for a Single-Machine Scheduling Problem with Family Setups and Resource Constraints
Portfolio Approaches for Constraint Optimization Problems
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining
How to Use Boltzmann Machines and Neural Networks for Covering Array Generation
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
Robust Neural Network Approach to System Identification in the High-Noise Regime
Hill-Climbing Behavior on Quantized NK-Landscapes
Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables
Learning to Configure Mathematical Programming Solvers by Mathematical Programming
Power Consumption Estimation in Data Centers Using Machine Learning Techniques
What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing?
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Learning Decision Trees for the Analysis of Optimization Heuristics
An Aspiration Set EMOA Based on Averaged Hausdorff Distances
Flexible Stochastic Local Search for Haplotype Inference
Corrected Formulations for the Traveling Car Renter Problem
Grapheur: A Software Architecture for Reactive and Interactive Optimization
A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem
Solution of the Maximum $$k$$ k -Balanced Subgraph Problem
Learning the Neighborhood with the Linkage Tree Genetic Algorithm
Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms
Constraint Programming and Machine Learning for Interactive Soccer Analysis
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search
A Constraint Satisfaction Approach to Tractable Theory Induction
Designing Stream Cipher Systems Using Genetic Programming
A Novel Feature Selection Method for Classification Using a Fuzzy Criterion
An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones
On the Distribution of EMOA Hypervolumes
DESICOM as Metaheuristic Search
A Model of FPGA Massively Parallel Calculations for Hard Problem of Scheduling in Transportation Systems
Bounding the Effectiveness of Hypervolume-Based (μ + λ)-Archiving Algorithms
Comparing Two Approaches for Solving Constrained Global Optimization Problems
On the Neutrality of Flowshop Scheduling Fitness Landscapes
A Multi-UAVs' Provider Model for the Provision of 5G Service Chains: A Game Theoretic Approach
Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars
Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection
Efficient Line Search Method Based on Regression and Uncertainty Quantification
Decision Maker Preferences in Surrogate-Based Multi-objective Optimization: A Survey
Optimization of Generalized Halton Sequences by Differential Evolution
A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints
A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations
A Simple Algorithmic Proof of the Symmetric Lopsided Lovász Local Lemma
QPTAS for the CVRP with a Moderate Number of Routes in a Metric Space of Any Fixed Doubling Dimension
New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution
Fast Permutation Learning
Data Sampling-Driven Adaptive Modification of Bus Routes Under Time-Varying Road Conditions
Scheduling Deteriorating Jobs and Module Changes with Incompatible Job Families on Parallel Machines Using a Hybrid SADE-AFSA Algorithm
A RAMP Algorithm for Large-Scale Single Source Capacitated Facility Location Problems
Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization
A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem
Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling
Massive 2-opt and 3-opt Moves with High Performance GPU Local Search to Large-Scale Traveling Salesman Problem
Position-Guided Tabu Search Algorithm for the Graph Coloring Problem
Heuristic Search Strategies for Noisy Optimization
Real-World Streaming Process Discovery from Low-Level Event Data
A Hyper-Heuristic Inspired by Pearl Hunting
Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes
Multi-objective Parameter Tuning with Dynamic Compositional Surrogate Models
A Composite Index Method for Optimization Benchmarking
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework
Parameter-Optimized Simulated Annealing for Application Mapping on Networks-on-Chip
Quasi-elementary Landscapes and Superpositions of Elementary Landscapes
Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production
Ant Colony Optimization and the Minimum Spanning Tree Problem
Using Hyperheuristics under a GP Framework for Financial Forecasting
Medical Staff Scheduling Problem in Chinese Mobile Cabin Hospitals During Covid-19 Outbreak
PSO-Based Cooperative Learning Using Chunking
An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design
Learning Algorithm Portfolios for Parallel Execution
Learning and Intelligent Optimization - 14th International Conference, LION 14, Athens, Greece, May 24-28, 2020, Revised Selected Papers
A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing
Sequential Model-Based Optimization for General Algorithm Configuration
Heuristics Selection with ML in CP Optimizer
Computational Intelligence for Locating Garbage Accumulation Points in Urban Scenarios
Natural Max-SAT Encoding of Min-SAT
Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins
Studies on a Bayesian Optimization Based Approach to Tune Hyperparameters of Matheuristics
Learning of Highly-Filtered Data Manifold Using Spectral Methods
An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering
An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation
Learning and Intelligent Optimization - 10th International Conference, LION 10, Ischia, Italy, May 29 - June 1, 2016, Revised Selected Papers
Automated Tuning of a Column Generation Algorithm
Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance
Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search
Comparison of Coarsening Schemes for Multilevel Graph Partitioning
Adaptive Filter SQP
Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO
Learning and Intelligent Optimization - 12th International Conference, LION 12, Kalamata, Greece, June 10-15, 2018, Revised Selected Papers
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions
Deep Randomized Networks for Fast Learning
Algorithm Switching for Multiobjective Predictions in Renewable Energy Markets
Analysis of Heuristics for Vector Scheduling and Vector Bin Packing
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve
Portfolios of Subgraph Isomorphism Algorithms
Nested Partitioning for the Minimum Energy Broadcast Problem
Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem
Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization
Counter Implication Restart for Parallel SAT Solvers
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
An Adaptive Memory-Based Approach Based on Partial Enumeration
Bayesian Optimization in Wasserstein Spaces
Making EGO and CMA-ES Complementary for Global Optimization
Minimizing Total Tardiness on Identical Parallel Machines Using VNS with Learning Memory
Raman Spectroscopy Using a Multiclass Extension of Fisher-Based Feature Selection Support Vector Machines (FFS-SVM) for Characterizing In-Vitro Apoptotic Cell Death Induced by Paclitaxel
Hybridizing Reactive Tabu Search with Simulated Annealing
Multiple Decision Problem for Stock Selection in Market Network
Learning and Intelligent Optimization - 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011. Selected Papers
Reinforcement Learning for Dynamic Pricing with Resource Constraints in a Competitive Context
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach
Dynamic Visual Few-Shot Learning Through Parameter Prediction Network
e 2 HPO: Energy Efficient Hyperparameter Optimization via Energy-Aware Multiple Information Source Bayesian Optimization
Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming
An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation
Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities
Hierarchical Machine Unlearning
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness
Multi-task Predict-then-Optimize
Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling
Automatic Configuration of Kernel-Based Clustering: An Optimization Approach
Asymptotically Optimal Algorithm for the Maximum m-Peripatetic Salesman Problem in a Normed Space
Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach
A Bayesian Optimization Algorithm for Constrained Simulation Optimization Problems with Heteroscedastic Noise
Robust Airline Fleet and Crew Scheduling: A Matheuristic Approach
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Resources Optimization in (Video) Games: A Novel Approach to Teach Applied Mathematics?
A Bayesian Approach to Constrained Multi-objective Optimization
How Evolutionary Algorithms Consume Energy Depending on the Language and Its Level
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
Single MCMC Chain Parallelisation on Decision Trees
On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances
Incremental MaxSAT Reasoning to Reduce Branches in a Branch-and-Bound Algorithm for MaxClique
Measuring Social Mood on Economy During Covid Times: A BiLSTM Neural Network Approach
Learning and Intelligent Optimization - 13th International Conference, LION 13, Chania, Crete, Greece, May 27-31, 2019, Revised Selected Papers
A Continuous Refinement Strategy for the Multilevel Computation of Vertex Separators
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Comparing Surrogate Models for Tuning Optimization Algorithms
Learning and Intelligent Optimization - 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems
ClassBO: Bayesian Optimization for Heterogeneous Functions
Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem
Irreducible Bin Packing: Complexity, Solvability and Application to the Routing Open Shop
An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes
Sharp Penalty Mappings for Variational Inequality Problems
On the Potentials of Parallelizing Large Neighbourhood Search for Rich Vehicle Routing Problems
Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers
Active Learning of Combinatorial Features for Interactive Optimization
Optimizing Data Augmentation Policy Through Random Unidimensional Search
Inverse Free Universum Twin Support Vector Machine
Binarized Monte Carlo Search for Selection Problems
An Algorithm Selection Benchmark of the Container Pre-marshalling Problem
Empirical Analysis of Operators for Permutation Based Problems
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem
Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks
Test Problems for Parallel Algorithms of Constrained Global Optimization
Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization
A Real-Time Adaptive Tabu Search for Handling Zoom In/Out in Map Labeling Problem
Sonar Inspired Optimization in Energy Problems Related to Load and Emission Dispatch
Learning and Intelligent Optimization, Second International Conference, LION 2007, Trento, Italy, December 8-12, 2007. Selected Papers
Learning to Optimize Black-Box Functions with Extreme Limits on the Number of Function Evaluations
Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data
Sharing Information in Parallel Search with Search Space Partitioning
Vehicle Routing and Adaptive Iterated Local Search within the HyFlex Hyper-heuristic Framework
GeneRa: A Benchmarks Generator of Radiotherapy Treatment Scheduling Problem
Explicit and Emergent Cooperation Schemes for Search Algorithms
Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters
An Intelligent Hyper-Heuristic Framework for CHeSC 2011
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies
Implicit Model Selection Based on Variable Transformations in Estimation of Distribution
Solving the Two-Dimensional Bin Packing Problem with a Probabilistic Multi-start Heuristic
Evolutionary FSM-Based Agents for Playing Super Mario Game
An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection
Information Preserving Line Search via Bayesian Optimization
Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization
A Simple Dual-RAMP Algorithm for the Capacitated Facility Location Problem
Decoupled Design of Experiments for Expensive Multi-objective Problems
MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
A GRASP for the Minimum Cost SAT Problem
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks
Global Optimization Using Numerical Approximations of Derivatives
A Math-Heuristic Algorithm for the DNA Sequencing Problem
Architecture for Monitoring Learning Processes Using Video Games
Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks
Pseudo-pyramidal Tours and Efficient Solvability of the Euclidean Generalized Traveling Salesman Problem in Grid Clusters
An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems
Accelerating Gradient Descent with Projective Response Surface Methodology
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation
Reparameterization of Computational Chemistry Force Fields Using GloMPO (Globally Managed Parallel Optimization)
Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations
Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm
Monte Carlo Methods for Preference Learning
Solving Influence Diagrams: Efficient Mixed-Integer Programming Formulation and Heuristic
Adaptive Sequence-Based Heuristic for the Three-Dimensional Bin Packing Problem
Learning a Stopping Criterion for Local Search
A Shared Memory Optimal Parallel Redistribution Algorithm for SMC Samplers with Variable Size Samples
Understanding TSP Difficulty by Learning from Evolved Instances
Portfolio Optimization via a Surrogate Risk Measure: Conditional Desirability Value at Risk (CDVaR)
An Efficient Heuristic for Passenger Bus VRP with Preferences and Tradeoffs
Towards a Matheuristic Approach for the Berth Allocation Problem
Lower Bounds and Upper Bounds for MaxSAT
Multi-agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence
Dynamic Strategy to Diversify Search Using a History Map in Parallel Solving
Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces
ML-Based Approach for Accelerating Global Search Algorithm for Solving Multicriteria Problems
Two-Channel Conflict-Free Square Grid Aggregation
Neutrality in the Graph Coloring Problem
Optimality of Multiple Decision Statistical Procedure for Gaussian Graphical Model Selection
A Matheuristic Algorithm for Solving the Vehicle Routing Problem with Cross-Docking
Bayesian Decision Trees Inspired from Evolutionary Algorithms
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization