Optimization problems are everywhere in today’s world. From minimizing costs to maximizing efficiency, the goal is often to find the most effective solution for a given task. These challenges typically involve identifying the maximum and minimum values—such as reducing fuel costs for a transportation company. One of the most powerful and valuable methods for tackling these problems is the use of genetic algorithms, a technique inspired by Darwin’s theory of evolution.
Download the entire article:
Author: Nejc Hočevar
