Latest Articles for Optimization

Explore minimum spanning trees and their impact on grids and real-world applications.

A study on finding maximum-sized properly colored forests in graph theory.

Exploring local solutions for variational inequalities in optimization and economics.

This article examines new methods in finite-sum optimization under the PL condition.

New strategies enhance speed for solving the Traveling Salesman Problem.

Examining energy estimates and graph invariants in the SYK model.

A new AI method improves scheduling in uncertain task environments.

An overview of Variational Quantum Algorithms and their applications in quantum computing.

A novel approach to efficiently solve Ising models using neural networks.

Examining how the matching number behaves in sparse random graphs.

New method uses a Rydberg atom for fast integer programming solutions.

Exploring how quantum computing addresses challenges in logistics and supply chain management.

A new algorithm improves material efficiency in packing irregular shapes.

A novel approach allows agents to optimize collaboratively with minimal data sharing.

A new symmetric approach improves strategy development in discounted payoff games.

New algorithms improve weight-matching in matroids for practical problem-solving.

Learn to improve optimization using simpler models combined with high-quality data.

Learn how researchers tackle the geometric knapsack problem with various shapes to maximize efficiency.

Learn about splitter networks and their role in efficient item management.

Examining gradient descent in phase retrieval and its optimization challenges.

Discovering shapes that minimize eigenvalues within volume limits.

This research highlights the role of crossover and diversity in evolutionary algorithms.

A new approach using k-local quantum search enhances efficiency in solving k-SAT challenges.

A look into norms, orthogonality, and their graphical representation.

This study focuses on improving coordination in systems with limited communication.

A fresh look at the vehicle routing problem considering complex loading constraints.

This work examines effective sparse optimization strategies in fractional Sobolev spaces.

Combining human insights with Bayesian methods improves engineering optimization outcomes.

Quantum annealing shows promise in solving complex production scheduling challenges.

This study highlights the role of diversity in evolutionary algorithms for matching problems.

A new AI tool simplifies decision-making by transforming business problems into optimization models.

New methods improve efficiency in weighted model counting, essential for AI and logic.

Discover the new features of SCIP 9.0 for efficient optimization.

Introducing a new method for efficient routing in length-constrained graphs.

A new method for tackling nonsmooth optimization problems with constraints.

A flexible framework for complex optimization problems incorporating multiple objectives and logical constraints.

A new framework improves gradient calculations for interconnected optimization problems.

A robust approach to optimization in noisy data environments.

Introducing new strategies for efficient convex optimization problem solving.

A new framework to ensure performance of first-order methods in parametric quadratic optimization.