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

November 06, 2025 ยท Declared Dead ยท ๐Ÿ› "A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing" in Journal of Theoretical & Applied Information Technology Vol 4 No 8 (2008)

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Authors Leszek Sliwko arXiv ID 2511.04183 Category cs.NE: Neural & Evolutionary Cross-listed cs.AI, cs.DC Citations 0 Venue "A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing" in Journal of Theoretical & Applied Information Technology Vol 4 No 8 (2008) Last Checked 4 months ago
Abstract
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.
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