# A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing

arXiv: https://arxiv.org/abs/2511.04183 · HTML: https://mlsanity.com/paper/2511.04183/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 6 Nov 2025.

## Abstract (arXiv)

This paper presents a reinforced genetic approach to a defined d-resource system optimization problem. The classical evolution schema was ineffective due to a very strict feasibility function in the studied problem. Hence, the presented strategy has introduced several modifications and adaptations to standard genetic routines, e.g.: a migration operator which is an analogy to the biological random genetic drift.