Derived from arXiv:2606.31584 - A Large-Scale Empirical Evaluation of MMAO Under Fair-Budget Continuous and Discrete Benchmarks
Scanned 9/11/2026
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# A Large-Scale Empirical Evaluation of MMAO Under Fair-Budget Continuous and Discrete Benchmarks
Derived from arXiv:2606.31584 - A Large-Scale Empirical Evaluation of MMAO Under Fair-Budget Continuous and Discrete Benchmarks
## Core Concept
This paper evaluates the Metabolic Multi-Agent Optimizer (MMAO) under a stricter empirical protocol rather than reintroducing the framework itself. The study asks whether MMAO's closed-loop resource-allocation principle remains credible under broader, more standard, and more explicitly budget-controlled continuous and discrete benchmarks. The main completed matrix covers eight CEC2017 functions at 10D and 30D with 20 seeds each, and five TSPLIB instances with 20 seeds each, together with stronge...
## Key Insights
- Derived from arXiv:2606.31584
- Published: 2026-06-30
- Utility Score: 1.00
- Authors: Jinliang Xu, Liping Ma
## Activation
a-large-scale-empirical-evaluation-of-mmao-under-f, 2606.31584
## References
- arXiv: https://arxiv.org/abs/2606.31584
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