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) ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

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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