Bio-inspired Artificial Intelligence Algorithms

Nature offers a wide range of inspirations for biological processes to be incorporated into technology and computing. Some of these processes and patterns have been inspiring the development of algorithms that can be used to solve real–world problems. They are called bio–inspired algorithms, whose inspiration in nature allows for applications in various optimization and classification problems.

To take you to this area, in this course you will learn the theoretical and mainly the practical implementation of the main and most used bio–inspired algorithms! By the end of the course you will have all the tools you need to build artificial intelligence solutions that can be applied to your own problems! The course is divided into six sections that cover different algorithms applied in real–world case studies. See below the projects that will be implemented step by step:

Genetic Algorithms (GA): It is one of the most used and well–known bio–inspired algorithm to solve optimization problems. It is based on biological evolution in which populations of individuals evolve over generations through mutation, selection, and crossing over. We will solve the flight schedule problem and the goal is to minimize the price of air line tickets and the time spend waiting at the airport.