AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A novel method is designed that disrupts the structure of the original network by adding and deleting edges, ensuring an equal number of additions and deletions, with the aim to enhance concealment and address the issue of inadequate deception.
A novel heuristic community detection algorithm, termed CoDeSEG, which identifies communities by minimizing the network's two-dimensional structural entropy within a potential game framework, and introduces a structural entropy-based node overlapping heuristic for detecting overlapping communities, with a near-linear t...
This paper presents an efficient hybrid genetic algorithm for multi-objective community detection that makes a good trade-off between solution quality and computational efficiency and provides a viable and scalable approach to community detection in large-scale complex networks.
The experimental results show that FMDM-DE demonstrates superiority or strong competitiveness over seven state-of-the-art algorithms in terms of mean squared error, standard deviation, and optimization accuracy, indicating its excellent robustness and optimization capability.
Can cooperation among large language model (LLM) agents be evolutionarily stable against free-rider invasion? We study an indirect reciprocity donation game where LLM agents observe behavioral traces and donate on a continuous scale. Strategies, represented as natural language prompts, evolve through cultural transmiss...
A group-aware multi-objective evolutionary framework that decomposes seed sets into group-specific sub-solutions that maintains population diversity through subpopulation co-evolution and adaptive sampling and introduces a sampling-based strategy that generates new composite solutions by probabilistically selecting bes...
This work analytically present that stochastic population update can be beneficial for the search of MOEAs, and proves that the expected running time of two well-established MOEAs, SMS-EMOA and NSGA-II, for solving two bi-objective problems can be exponentially decreased if replacing its deterministic population update...
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