11 “Problematic” Behaviors Highly Creative Children Display That Are Actually Not A Problem At All

The behaviors that read as problems in environments built for compliance and consistency, and read entirely differently once ...
IEEE

Black-Box Optimization of the Storage Location Assignment Problem in Logistics Centers Using an Annealing Algorithm

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...
Washington Examiner

Mike Johnson’s rule problem: Republicans lament ‘anarchy’ in House as precedent erodes

The House of Representatives looks, operates, and negotiates much differently than it has within the last five years. The erosion of rules and precedent in committees, the numerous procedural votes ...
IEEE

A Hierarchical Multi-Task and Multi-Agent Assignment Approach: Learning DQN Strategy From Execution

Abstract: This article investigates the problem of real-time task assignment with heterogeneous agents while considering resource constraints. A hierarchical reinforcement learning-based(HRL) method ...
marktechpost

REDA: A Novel AI Approach to Multi-Agent Reinforcement Learning That Makes Complex Sequence-Dependent Assignment Problems Solvable

Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...
JSTOR Daily

Response to viewpoint: Whither problem structuring methods (PSMs)?

Abuabara, L., Paucar-Caceres, A., Belderrain, M. C. N., & Burrowes-Cromwell, T. (2017). A systemic framework based on Soft OR approaches to support teamwork strategy ...
Scientific Research Publishing

Jonker, R. and Volgenant, A. (1987) A Shortest Augmenting Path Algorithm for Dense and Sparse Linear Assignment Problems. Computing, 38, 325-340.

ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...
Scientific Research Publishing

A Comparison of Global Nearest Neighbor and Linear Assignment Problem Solution Methods on a Model Tracking Problem ()

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...