Learning and Intelligent Optimization
19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I
Herausgegeben:Zhang, Yingqian; Hladik, Milan; Moosaei, Hossein
Learning and Intelligent Optimization
19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I
Herausgegeben:Zhang, Yingqian; Hladik, Milan; Moosaei, Hossein
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The two-volume set LNCS 15744 + 15745 constitutes the proceedings of the 19th International Conference on Learning and Intelligent Optimization, LION 2025, which was held in Prague, Czech Republic, during June 15 19, 2025.
The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research.
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The two-volume set LNCS 15744 + 15745 constitutes the proceedings of the 19th International Conference on Learning and Intelligent Optimization, LION 2025, which was held in Prague, Czech Republic, during June 15 19, 2025.
The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research.
The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15744
- Verlag: Springer, Berlin; Springer International Publishing;
- Artikelnr. des Verlages: 89560588
- Seitenzahl: 328
- Erscheinungstermin: 10. Dezember 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032091550
- ISBN-10: 3032091551
- Artikelnr.: 75439045
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 15744
- Verlag: Springer, Berlin; Springer International Publishing;
- Artikelnr. des Verlages: 89560588
- Seitenzahl: 328
- Erscheinungstermin: 10. Dezember 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032091550
- ISBN-10: 3032091551
- Artikelnr.: 75439045
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.
Multi
Agent Soft Actor
Critic with Coordinated Loss for Autonomous Mobility
on
Demand Fleet Control. .
Do LLMs Understand Constraint Programming? Zero
Shot Constraint Programming Model Generation Using LLMs. .
Learning to Solve the Min
Max Mixed
Shelves Picker
Routing Problem via Hierarchical and Parallel Decoding. .
Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue. .
Demand Selection for VRP with Emission Quota. .
Multi
target tree regression approach for surrogate
based optimisation. .
Information Preserving Line Search via Bayesian Optimization. .
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. .
Empirical Analysis of Upper Bounds of Robustness Distributions using Adversarial Attacks. .
e$^2$HPO: energy efficient Hyperparameter Optimization via energy
aware multiple information source Bayesian optimization. .
Reinforcement Learning for Dynamic Pricing with resource constraints in a competitive context. .
Decision Maker Preferences in Surrogate
based Multi
Objective Optimization: A Survey. .
Deep Reinforcement Learning Based Genetic Framework for Flexible Job
Shop Scheduling under Practical Constraints. .
Solving influence diagrams: efficient mixed
integer programming formulation and heuristic. .
Mixed
Integer Linear Optimization via Learning
Based Two
Layer Large Neighborhood Search. .
Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. .
Time
Varying Multi
Objective Optimization: Tradeoff Regret Bounds. .
Vector Bin Packing with Bin Clusters, Variable Bin Sizes and Costs
A Model and Heuristics for Cloud Capacity Planning. .
SchedulExpert: Graph Attention Meets Mixture
of
Experts for JSSP. .
Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design. .
The Post
Enrollment Course Timetabling Problem with Flexible Teacher Assignments.
Multi
Agent Soft Actor
Critic with Coordinated Loss for Autonomous Mobility
on
Demand Fleet Control. .
Do LLMs Understand Constraint Programming? Zero
Shot Constraint Programming Model Generation Using LLMs. .
Learning to Solve the Min
Max Mixed
Shelves Picker
Routing Problem via Hierarchical and Parallel Decoding. .
Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue. .
Demand Selection for VRP with Emission Quota. .
Multi
target tree regression approach for surrogate
based optimisation. .
Information Preserving Line Search via Bayesian Optimization. .
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. .
Empirical Analysis of Upper Bounds of Robustness Distributions using Adversarial Attacks. .
e$^2$HPO: energy efficient Hyperparameter Optimization via energy
aware multiple information source Bayesian optimization. .
Reinforcement Learning for Dynamic Pricing with resource constraints in a competitive context. .
Decision Maker Preferences in Surrogate
based Multi
Objective Optimization: A Survey. .
Deep Reinforcement Learning Based Genetic Framework for Flexible Job
Shop Scheduling under Practical Constraints. .
Solving influence diagrams: efficient mixed
integer programming formulation and heuristic. .
Mixed
Integer Linear Optimization via Learning
Based Two
Layer Large Neighborhood Search. .
Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. .
Time
Varying Multi
Objective Optimization: Tradeoff Regret Bounds. .
Vector Bin Packing with Bin Clusters, Variable Bin Sizes and Costs
A Model and Heuristics for Cloud Capacity Planning. .
SchedulExpert: Graph Attention Meets Mixture
of
Experts for JSSP. .
Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design. .
The Post
Enrollment Course Timetabling Problem with Flexible Teacher Assignments.
.
Multi
Agent Soft Actor
Critic with Coordinated Loss for Autonomous Mobility
on
Demand Fleet Control. .
Do LLMs Understand Constraint Programming? Zero
Shot Constraint Programming Model Generation Using LLMs. .
Learning to Solve the Min
Max Mixed
Shelves Picker
Routing Problem via Hierarchical and Parallel Decoding. .
Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue. .
Demand Selection for VRP with Emission Quota. .
Multi
target tree regression approach for surrogate
based optimisation. .
Information Preserving Line Search via Bayesian Optimization. .
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. .
Empirical Analysis of Upper Bounds of Robustness Distributions using Adversarial Attacks. .
e$^2$HPO: energy efficient Hyperparameter Optimization via energy
aware multiple information source Bayesian optimization. .
Reinforcement Learning for Dynamic Pricing with resource constraints in a competitive context. .
Decision Maker Preferences in Surrogate
based Multi
Objective Optimization: A Survey. .
Deep Reinforcement Learning Based Genetic Framework for Flexible Job
Shop Scheduling under Practical Constraints. .
Solving influence diagrams: efficient mixed
integer programming formulation and heuristic. .
Mixed
Integer Linear Optimization via Learning
Based Two
Layer Large Neighborhood Search. .
Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. .
Time
Varying Multi
Objective Optimization: Tradeoff Regret Bounds. .
Vector Bin Packing with Bin Clusters, Variable Bin Sizes and Costs
A Model and Heuristics for Cloud Capacity Planning. .
SchedulExpert: Graph Attention Meets Mixture
of
Experts for JSSP. .
Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design. .
The Post
Enrollment Course Timetabling Problem with Flexible Teacher Assignments.
Multi
Agent Soft Actor
Critic with Coordinated Loss for Autonomous Mobility
on
Demand Fleet Control. .
Do LLMs Understand Constraint Programming? Zero
Shot Constraint Programming Model Generation Using LLMs. .
Learning to Solve the Min
Max Mixed
Shelves Picker
Routing Problem via Hierarchical and Parallel Decoding. .
Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue. .
Demand Selection for VRP with Emission Quota. .
Multi
target tree regression approach for surrogate
based optimisation. .
Information Preserving Line Search via Bayesian Optimization. .
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. .
Empirical Analysis of Upper Bounds of Robustness Distributions using Adversarial Attacks. .
e$^2$HPO: energy efficient Hyperparameter Optimization via energy
aware multiple information source Bayesian optimization. .
Reinforcement Learning for Dynamic Pricing with resource constraints in a competitive context. .
Decision Maker Preferences in Surrogate
based Multi
Objective Optimization: A Survey. .
Deep Reinforcement Learning Based Genetic Framework for Flexible Job
Shop Scheduling under Practical Constraints. .
Solving influence diagrams: efficient mixed
integer programming formulation and heuristic. .
Mixed
Integer Linear Optimization via Learning
Based Two
Layer Large Neighborhood Search. .
Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. .
Time
Varying Multi
Objective Optimization: Tradeoff Regret Bounds. .
Vector Bin Packing with Bin Clusters, Variable Bin Sizes and Costs
A Model and Heuristics for Cloud Capacity Planning. .
SchedulExpert: Graph Attention Meets Mixture
of
Experts for JSSP. .
Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design. .
The Post
Enrollment Course Timetabling Problem with Flexible Teacher Assignments.