Validate the architecture of project.

Implement Genetic Algorithm and Decision Tree

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

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

TSLint rule to control dependencies between project modules

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.

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.

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

Validate imports and run tests selectively in Go projects.

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

Parallelized genetic algorithm implementation using pthreads and java-concurrency.

Genetic Algorithms techniques in solving a searching problem for optimization.

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.

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.

Neuroevolutionary game.

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

Implementation of the Fitness-Distance-Ratio Archive-Based Swarm Optimization (FABSO) algorithm

C++ implementation of Artificial Bee Colony

This is an implementation of Fuzzy Rough Dependency Degree (FRDD) to calculate the importance of selected feautres

Some part of USPEX source code is published here to help users to interface new codes with USPEX, or debug the previous interfaces. Now, It is also possible to add new fitness functions to USPEX. This will allow users to search for any property that they want using evolutionary algorithm USPEX.