Smart Rockets
Rockets need to find a way between obstacles to the target using genetic algorithm.
Everything you need to know about genetic algorithms you can find here https://en.wikipedia.org/wiki/Genetic_algorithm. In this simulation there are 3 levels for rockets to beat. You can change parameteres of algorithm through simulation.
Each rocket has genes (array of N elements) where each element is 2D vector.
Fitness function is distance between target and rocket. New generation is selected using rejection sampling method. Each new rocket takes one part of genes from parent1 and other part from parent2. This doesn't mean it takes 50-50 genes, because "middle" point is a random number.
Live preview
You can check out live preview at https://boris-ns.github.io/SmartRockets/