New framework analysis for Metabolic Multi-Agent Optimizer

This paper introduces the Metabolic Multi-Agent Optimizer (MMAO) framework, abstracting its core resource management loop. The authors establish boundedness and non-negativity properties for key components like private energy and communal budget under mild assumptions. The analysis identifies three distinct behavioral regimes: contraction, reinvestment, and search redistribution, demonstrating generic consequences of the metabolic loop. AI

RANK_REASON Academic paper published on arXiv detailing a new framework for metaheuristics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

• Jinliang Xu
• Metabolic Closed-Loop Metaheuristics
• Metabolic Multi-Agent Optimizer

• paper
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