# Difference Between Hill Climbing and Simulated Annealing Algorithm

In the world of computers, especially in solving problems, various methods and strategies help find solutions. Two of these methods are *Hill Climbing* and *Simulated Annealing*. These are algorithms used to find the best solutions when there are many possibilities. Think of them in different ways you could try to find the highest mountain peak in a range of hills. But how do they differ? In this blog post, we will explain these two algorithms in the simplest way possible, focusing on what makes them different and when you might use one over the other.

# Introduction

Ever wondered how computers solve complex problems? One way is by using algorithms. These are step-by-step instructions that computers follow to find solutions. Two popular algorithms for optimization problems are Hill Climbing and Simulated Annealing. Let’s explore these algorithms and understand how they work.

**What are Optimization Algorithms?**

Optimization algorithms are techniques used to find the best solution among many possibilities. Imagine you are trying to find the highest peak in a mountain range. You can’t just guess where the peak is; you need a method to explore the terrain and find the highest point. That’s what optimization algorithms do, but instead of…