Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...

Researchers have represented an intelligent inversion framework for soil parameters in deep excavations is established by ...

Correspondingly, a novel metaheuristic algorithm called multistage particle swarm optimization is designed and consists of two parts: 1) a multistage strategy and 2) a specially designed particle ...

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019 ...

Welcome back to The Prompt, Aravind Srinivas, co-founder and CEO of Perplexity, during TechCrunch Disrupt in San Francisco, California, US, on Wednesday, Oct. 30, 2024. Distributed Spectrum, a ...

[CCF-A] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, ...

(Sam Craft/Texas A&M AgriLife) Finding patterns in locust swarm behavior Environmental factors like topography or food availability may influence the direction of travel for locusts at the head of ...

Fresh from their historic discovery of the Higgs boson in 2012, researchers using CERN’s Large Hadron Collider (LHC), the main particle accelerator at the European particle-physics laboratory ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Ensure your organization makes excellent use of power availability to reap AI’s potential. C ...

A new paper explores this and concludes that a complete Dyson swarm outside the orbit of Earth would raise our temperature by 140 K. The concept of a Dyson swarm is purely a hypothetical concept ...