From SEO to algorithmic education: The roadmap for long-term brand authority

Learn the multi-speed approach that strengthens entity identity, builds algorithmic confidence, and boosts visibility in AI-powered results.
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Scientific Research Publishing

Sack, S.H. and Egger, D.J. (2024) Large-Scale Quantum Approximate Optimization on Nonplanar Graphs with Machine Learning Noise Mitigation. Physical Review Research, 6, Article ...

ABSTRACT: This experimental study introduces a hybrid quantum-classical framework aiming to improve the noise robustness of Shor’s algorithm. By incorporating a novel hybrid logic gate into the ...
IEEE

PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization With Large Language Models

Abstract: Efficiently solving Optimal Power Flow (OPF) problems in power systems is crucial for operational planning and grid management. There is a growing need for scalable algorithms capable of ...
IEEE

Graph-Based Machine Learning Estimation Methods for Backbone Optical Network Optimization

Abstract: The development of new technologies, causing an immense increase in the amount of data transmitted through the backbone infrastructure, triggers the growing need for new, effective ...
Scientific Research Publishing

Haynes, T.W., Hedetniemi, J.T., Hedetniemi, S.T., McRae, A.A. and Mohan, R. (2023) Coalition Graphs. Communications in Combinatorics and Optimization, 8, 423-430.

ABSTRACT: In a graph G=( V,E ) , two disjoint sets V 1 , V 2 ⊆V are said to form a coalition, if neither V 1 nor V 2 is a dominating set of G , but V 1 ∪ V 2 is a dominating set of G . The sets V 1 ...