Research

Comparison of Optimisation Methods for The Knapsack Problem: Steepest Ascent Hill Climbing vs. Simulated Annealing

I have published my paper “Comparison of Optimisation Methods for The Knapsack Problem: Steepest Ascent Hill Climbing vs. Simulated Annealing” on ResearchGate. The paper explores the application of optimization algorithms, specifically Hill Climbing and Simulated Annealing, to solve the knapsack problem. The knapsack problem is a well-known combinatorial optimization problem...

Exploring AI Optimizers: Enhancing Model Performance and Efficiency

Introduction Artificial Intelligence (AI) optimizers play a crucial role in training and fine-tuning machine learning models. These optimization algorithms are designed to improve model performance, enhance convergence, and efficiently use computational resources. In this article, we will delve into the world of AI optimizers, exploring their importance, popular types, and...

The Gift of Knowledge

Knowledge is a form of power that is unique to humans. It refers to the information, skills, and expertise accumulated through learning, observation, and experience. Knowledge can be acquired through various sources such as education, personal experiences, technology, and cultural practices. It is an essential aspect of human life that...