The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Abstract: In the present investigation, the Maximum Power Point Tracking (MPPT) of a 250 Wp solar PV model is validated in rapidly changing atmospheric conditions using Horse Herd Optimization (HHO) ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

Exploring the biggest questions of our time with the help of the world's greatest thinkers. Host Manoush Zomorodi inspires us to learn more about the world, our communities, and most importantly, ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

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The 11-member U.S. delegation is scheduled to meet Danish Prime Minister Mette Frederiksen and her Greenlandic counterpart Jens-Frederik Nielsen. More than 422,000 people signed contracts with Russian ...