3 papers
cs.NE2026
Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming
Ali Kohan, Mohamad Roshanzamir, Roohallah Alizadehsani +1
Recent advancements in agentic AI have increasingly moved toward graph-based methods, driven by the demand for explainable, human-centered, and non-linear reasoning workflows. A pr…
cs.LG2025
A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran
Mohamad Roshanzamir, Roohallah Alizadehsani, Ehsan Zarepur +6
Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before the age of 55 for men and 65 for women. Coronary Artery Disease (CAD) develops whe…
cs.MA2024
Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction
Ali Kohan, Mohamad Roshanzamir, Roohallah Alizadehsani
Genetic Network Programming (GNP) is an evolutionary algorithm that extends Genetic Programming (GP). It is typically used in agent control problems. In contrast to GP, which emplo…