This study introduces a novel nonconvex optimization algorithm, the niching-based gradient-directed evolution (NGDE) algorithm, designed specifically for high-dimensional nonconvex optimization. The ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 # ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Ruder, S. (2017) An Overview of Gradient Descent Optimization Algorithms. arXiv 1609.04747.

Moreover, the gradient-based performance optimization strategy is proposed to mitigate the performance degradation induced by disturbances, using the online monitored actuator and sensor data of ...

Moreover, LibMOON significantly reduced the time needed for optimization, with certain tasks completed nearly half the time compared to other libraries like Pymoo or jMetal. In conclusion, LibMOON ...

Snake SL - Supervised Learning that solves the Snake game. SL was implemented by Gradient-Free-Optimizers library available for Python, neural networks was created in Keras and game was created in ...