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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Frank Neumann

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Open access Aug 2026

Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints

This work focuses on the case where elements within each constraint have uniform cost and shows that this structure leads to small Pareto fronts in the multitasking formulation, which enables solution sharing across tasks and can improve performance compared to running standard evolutionary approaches independently.

L. Wigney, Frank Neumann · 0 citations
Open access Aug 2026

Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem

This paper investigates integrating evolutionary multitasking with Edge Assembly Crossover (MT-EAX) to solve the classical Travelling Salesperson Problem and demonstrates that the advantage of MT-EAX derives from increased diversity through parallel search in early generations, which can be successfully preserved using...

L. Wigney, Aneta Neumann, Y. Ong et al. · 0 citations
Conference Open access Aug 2026

Taming Treewidth DP with Modulators: A General Booster for Graph Heuristics

This work applies TDP to enhance algorithms across diverse paradigms, including evolutionary search, greedy heuristics, and graph-neural-network-based heuristics, and shows that TDP significantly improves performance over the original methods.

Jialiang Li, Aneta Neumann, Frank Neumann et al. · 1 citation

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