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

a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates ...

A recent study has unveiled a novel strategy to boost the efficiency of solar photovoltaic (PV) systems in agriculture, ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, ...

Learn some concepts to reduce the costs of quantum algorithms, such as using quantum gates and circuits wisely and applying quantum error correction.

Each sub-module requires the optimization algorithm to be trained through the corresponding evaluation function ... and the walking path was recorded by Matlab using RoboViz observation. As shown in ...

To assess the performance of the proposed PSA-based approach, comparisons are made with Jaya, Cuckoo Search, Particle Swarm Optimization (PSO) and Perturb and Observe (P&O) algorithms. Real-time ...

Traditional optimization methods struggle to offer satisfactory solutions. Our study introduces a many-objective evolutionary algorithm that concurrently manages coverage and routing optimization in ...

In response to the complexity of the Jacobian matrix inversion process in the power flow algorithm for AC/DC microgrids, leading to large memory requirements and susceptibility to convergence issues, ...

It is based on the iterative optimization matrix. In each iteration ... the target point set which has N points is produced by rotation and translation of the reference point set. Both of the ...