fitness-function

Validate the architecture of project.

Stop your AI agents from turning your codebase into slop soup. Enforce data flow and structure with strong lint rules.

Решение проблемы коммивояжера с возможностью обработки файлов kml и дальнейшее построение кратчайшего пути в google earth

Implement Genetic Algorithm and Decision Tree

Implementing Many objective cooperative bat searching algorithm paper to optimize problems with different objective functions.

parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp

AI commands that operationalise the Continuous Architecture Framework (CAF) — all views, practices and rituals. Works with Claude Code, GitHub Copilot and Gemini. No coding skills required to contribute.

ArchUnitRuby is an architecture testing library. Specify and ensure architecture rules in your Ruby app. Easy setup and pipeline integration.

TSLint rule to control dependencies between project modules

This is a simulation of sunfllowers evolution given certain evniormental conditions, it is simulated via a genetic algorthim using a loss/fitness function, corssing over and other biological mechanisms.

Neuroevolutionary game.

Harness the power of Evolutionary Algorithms to optimize bin packing. Experiment with crossover strategies, mutation techniques, and population sizes to achieve efficient item allocation in bins.

A genetic algorithm utilising noise maps to create a blueprint for proceduraly generated content in traditional RPGs..

Validate imports and run tests selectively in Go projects.

Implementation of a genetic algorithm to solve the Knapsack problem with a capacity C and a given set of N objects. The genetic fitness function sums up the profits of the objects in the Knapsack.

A UAV Resource Allocation system optimizing delivery from a central base to multiple outposts using priority-based distribution of medicine, food, and weapons. It considers urgency, distance, and UAV capacity, leveraging swarm algorithms for efficient, real-time resource management under constraints.

Genetic Algorithms techniques in solving a searching problem for optimization.

Flutter plugin for UTE smart band (GloryFit) / smart watch BLE connectivity on Android and iOS.

Parallelized genetic algorithm implementation using pthreads and java-concurrency.

Implementation and evaluation of the Ant Colony Optimization algorithm on the bin-packing problem