genetic

There are 195 repositories under genetic topic.

  • Project-Platypus/Platypus

    A Free and Open Source Python Library for Multiobjective Optimization

    Language:Python58019177152
  • Koi

    jobtalle/Koi

    Koi Farm, a koi breeding game

    Language:JavaScript3841019357
  • SC4RECOIN/NeuroEvolution-BTC-Trader

    Building a population of models that trade crypto and mutate iteratively

    Language:Go15715044
  • ren-yuan/c2.js

    JavaScript library for creative coding

    Language:TypeScript133319
  • cmanny/ga-for-cvrp

    Capacitated Vehicle Routing Problem

    Language:Python663831
  • lenaschimmel/sc2rf

    SARS-Cov-2 Recombinant Finder for fasta sequences

    Language:Python4893213
  • amirdeljouyi/graph-coloring

    Graph grounding for graph coloring algorithms such as Welsh Powell and Evolution algorithms like Harmony Search and Genetic

    Language:TypeScript41310
  • Genomicsplc/variantkey

    Numerical Encoding for Human Genetic Variants

    Language:C403857
  • Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-

    aliasgharheidaricom/Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-

    In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html

    Language:MATLAB382011
  • gtonkinhill/pairsnp

    A set of scripts for calculating pairwise SNP distance

  • bezzad/TSP-GA

    Traveling Salesman Problem Using Parallel Genetic Algorithms

    Language:C#378111
  • coin-unknown/async-genetic

    A blazing fast and fully async genetic algorithm

    Language:TypeScript30342
  • Jeffail/spiril

    Rust library for genetic algorithms

    Language:Rust29322
  • king-11/genx

    Genx provides modular building blocks to run simulations of optimization and search problems using Genetic Algorithms

    Language:Rust292102
  • ans-4175/password-ga

    Password Generator using Genetic Algorithm

    Language:JavaScript284112
  • nathsou/Darwin

    Flexible genetic algorithm implementation in TypeScript.

    Language:TypeScript28214
  • squaresLab/Darjeeling

    Language-independent, search-based program repair -- just your cup of tea! ☕

    Language:Python28417910
  • GeneticsJS

    CristianAbrante/GeneticsJS

    Evolutionary algorithms library for the web 🧬

    Language:TypeScript27306
  • Phillip-a-richmond/GenomeAnalysisModule

    Welcome to the website and github repository for the Genome Analysis Module. This website will guide the learning experience for trainees in the UBC MSc Genetic Counselling Training Program, as they embark on a journey to learn about analyzing genomes.

    Language:HTML24615
  • pysiakk/GeneticTree

    Constructing decision trees with genetic algorithm with a scikit-learn inspired API

    Language:Python24293
  • bewegende-Architektur/Phaenotyp

    Phänotyp allows to perform genetic mutation of architectural structures. Furthermore it can be used to analyze moving shapes. This is especially useful when working on kinematic architectural projects. The tool is focusing on early stages of the design process and can be used for free without any warranty.

    Language:Python20201
  • vss2sn/cvrp

    This repository contains algorithms in C++ to solve the Capacitated Vehicle Routing Problem (cvrp).

    Language:C++173112
  • Omair-R/PyGenetic

    A multi-purpose genetic algorithm written in python

    Language:Python16103
  • Percona-QA/gaai

    gaai - Genetic Algorithm Artificial Intelligence Database Performance Tuning

    Language:Lua161705
  • LuKks/neural-go

    Genetic Neural Networks

    Language:Go15301
  • acsicuib/GA4FogPlacement

    Genetic algorithms for the placement of services in Fog domains

    Language:Python14356
  • DubiousCactus/GeneticAlgorithm

    Implementation of a simple genetic algorithm designed to solve the Traveling Salesman Problem, using ncurses to visualize the graph.

    Language:C10323
  • raymelon/EmergencyResponseUnitLocator

    :rotating_light: Finds the best location for an Emergency Response Unit using Genetic Algorithm. A homework in Computational Intelligence course. :fire_engine: :oncoming_police_car: :ambulance:

    Language:MATLAB10103
  • asmagen/SPAGEfinder

    Computational approach to identify Survival associated Pairwise Gene Expression states.

    Language:R8204
  • cashlionjp/JeneticS

    Genetic Algorithm Framework in JS

    Language:JavaScript8120
  • gptshubham595/CL643-OPTIMIZATION-LP-MILP-MINLP-NLP-using-MATLAB-GAMS-CPLEX-

    CL643 OPTIMIZATION LP MILP MINLP NLP using MATLAB GAMS IBM CPLEX

    Language:MATLAB8101
  • 0xF6/Genome

    🧬🦠🧪 [research][wip] Library for working with DNA, RNA, and etc acids

    Language:C#7300
  • ayaanhossain/nrpcalc

    Non-Repetitive Parts Calculator - Automated design and discovery of non-repetitive genetic parts for engineering stable genetic systems

    Language:Python7334
  • thelonesailor/MSP

    Genetic and our algorithm for Multiprocessor Scheduling Problem

    Language:Python7200
  • bioinfo-chru-strasbourg/howard

    Highly Open Workflow for Annotation & Ranking toward genomic variant Discovery

    Language:Python621122
  • ipazc/deepevolution

    Deepevolution is a PIP package for evolving tensorflow keras models with a genetic algorithm towards fitting a fitness function.

    Language:Python6323