Abstract: This paper describes the Jaya Algorithm and compares its performance with the Genetic Algorithm for optimizing the Himmelblau function and the Rosenbrock function. The Jaya algorithm is ...

This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required ...

- By examining over 100 unique variants associated with the CASR gene causative of ADH1, the average frequency of gain-of-function CASR variants was ~3.7 per 100,000, closely aligned to previously ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Ursula von der Leyen’s plane ...

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...