3 papers
cs.NE2026
A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
Nitin Gupta, Bapi Dutta, Anupam Yadav
Swarm based optimization algorithms have demonstrated remarkable success in solving complex optimization problems. However, their widespread adoption remains sceptical due to limit…
cs.LG2025
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies
Nitin Gupta, Indu Bala, Bapi Dutta +2
Swarm intelligence effectively optimizes complex systems across fields like engineering and healthcare, yet algorithm solutions often suffer from low reliability due to unclear con…
cs.AI2025
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
Dikshit Chauhan, Nitin Gupta, Anupam Yadav
Industrial and reliability optimization problems often involve complex constraints and require efficient, interpretable solutions. This paper presents AI-AEFA, an advanced paramete…