Genetic Algorithms in Elixir

Exploring Different Types of Optimization

So far, the problems you’ve implemented in this book have focused on optimizing a single objective using a simple fitness function. In the real world, some of the problems you’ll encounter will be much more complex.

In this section, you’ll briefly explore two classes of optimization that require more advanced approaches to evaluation: multi-objective optimization and interactive optimization.

Optimizing Multiple Objectives

The real world is full of competing interests that need to be optimized. For example, you might find yourself trying to balance work, relationships, health, fun, and sleep every day—a classic example of a multi-objective optimization problem. A multi-objective optimization problem ...