Latest Articles for Operations Research

Analyzing the role of decisiveness in Markov chains and probabilistic models.

Introducing a unified framework for efficient task assignment in changing environments.

A novel method merges two techniques to improve scheduling efficiency.

MABIM tool enhances research in MARL for inventory challenges.

A look into the challenges and solutions of packing colored items efficiently.

Explore odd colouring and its applications in graph theory.

A new branching method enhances efficiency in solving MILPs using GMI cuts.

A deep dive into tackling the BMWIS problem in bipartite and perfect graphs.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

A study on scheduling jobs efficiently using two machines and one server.

Learn how directed graphs use spanning trees and distributions for real-world applications.

This article details a powerful parallel method for solving positive linear programs in graphs.

This article discusses properties of directed graphs and their dicoloring methods.

A new algorithm enhances cut selection for mixed-integer programming, speeding up problem-solving.

A new method improves efficiency in discrete optimization using reinforcement learning.

Explore bounds on integer solutions in linear equations.

Decentralized approaches enhance inventory management efficiency in complex supply chains.

A new approach to generate diverse plans in complex situations using simulation data.

Learn how chance-constrained programming and the Active Set method improve decision-making under uncertainty.

New algorithm improves efficiency in concave minimization problems across various industries.

A guide to second-order cone functions and their role in optimization.

A study on max-cut problem formulations and continuous relaxation effectiveness.

Exploring the impact of tensors on dynamic programming efficiency.

Learn effective methods for distributing items to prevent overload in systems.

A study reviewing different formulations for cutting shapes efficiently.

Learn how bipartite treewidth aids in solving complex graph problems efficiently.

A dive into continuous MDPs and their applications in decision-making and reinforcement learning.

Exploring the impact of local discrepancy and functions on QMC techniques.

An overview of stack-sorting methods and their practical applications in various fields.

Explore interval and multiple interval graphs and their significance in various fields.

Examining the effectiveness of scheduling with uncertain job processing times.

This study presents a new algorithm for efficient job scheduling.

Exploring the complexities of online matroid intersection and its applications.

Examining sample complexity in stochastic programming with heavy-tailed distributions.

New methods improve efficiency and flexibility in optimal transport using tempered exponential measures.

A new method reduces unnecessary calculations in SSPs, speeding up decision-making.

A fresh approach to assess railway junction capacities without relying on timetables.

A method to better visualize outcomes in multi-objective optimization challenges.

New findings on list-coloring packing improve graph theory applications.

A look into efficient job scheduling across various scenarios to minimize completion time.