It is an implementation of Genetic Algorithms in which a population of rockets attempt to find a way to the target without crashing.
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Updated
Aug 6, 2020 - JavaScript
It is an implementation of Genetic Algorithms in which a population of rockets attempt to find a way to the target without crashing.
🚀 Build smart rockets that learn to navigate complex environments with this real-time physics and genetic algorithm! Optimize your rockets and evolve them to see exciting results 🧬
Smart Rocket Proxy One 🚀 A lightweight prototype of the Smart Rockets Genetic Algorithm project, built in Python with Pygame. This version focuses on testing movement, angle exclusion, and basic fitness evaluation as a foundation for later evolutionary improvements. inspiration : https://shivank1006.github.io/Smart-Rockets/
Genetic Algorithm to find optimal path for rocket to take.
A OpenGL implementation of the Smart Rockets genetic algorithm.
Smart Rockets implementation using Kotlin & Compose Multiplatform
Implementation of a genetic algorithm for guiding rockets to a target
genetic algorithm
Each rockets goal is to reach the target circle without crashing. A genetic algorithm creates new populations, with the most "fit" rockets most likely to become parents.
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