selective harmonic elimination (she) is a powerful modulation scheme aims to find the required switching angles in order to eliminate the number of undesired harmonics. she is a complicated problem which consists of several nonlinear equations which have multiple local minima. in order to eliminate the higher number of undesired harmonics and as a result reducing the total harmonic distortion (...

Federated learning is a hot area of concern in the field privacy protection. There are local model parameters that difficult to integrate, poor timeliness, and training security issues. This paper proposes blockchain-based differential optimization federated incremental algorithm, First, we apply weighted random forest optimize reduce impact adding on accuracy model. Using different ensemble al...

Concrete is the second most consumed material after water and the most widely used construction material in the world. The compressive strength of concrete is one of its most important mechanical properties, which highly depends on its mix design. The present study uses the intelligent methods with instance-based learning ability to predict the compressive strength of concrete. To achieve this ...

optimization of structures for minimum weight has become important in the recent designs. in this study, a genetic optimization algorithm for weight minimization of steel frames has been used. the genetic algorithm is an optimization and search technique based on the principles of genetics and natural selection. constraints regarding material strength and serviceability are taken from “aisc cod...

Remote sensing image registration is valuable for image-based navigation system despite posing many challenges. As the search space of usually nonconvex, optimization algorithm, which aims to find optimal parameters in space, a challenging step. Conventional algorithms can hardly reconcile contradiction rapid convergence and global optimization. In this letter, novel learning-based algorithm na...

As a novel strategy, Quantum-behaved particles use uncertainty law and a distinct formulation obtained from solving the time-independent Schrodinger differential equation in the delta-potential-well function to update the solution candidates’ positions. In this case, the local attractors as potential solutions between the best solution and the others are introduced to explore the solution space...