Search Results for "genetic algorithm delphi" - Page 3
Sort By:
Showing 247 open source projects for "genetic algorithm delphi"
View related business solutions-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
-
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
1
quickGA-m
A quick (messy?) genetic algorithm to solve TSP
A quick genetic algorithm to solve TSP scenarios. Written in Matlab. Circa June 2012. -
2
Evolutionary Nursery
A simple genetic algorithm for numerical optimization
Evolutionary nursery is a result for my passion for developing genetic algorithms. I implemented this simple GA in 2008. This is especially intended for numerical optimization problems. -
3
Grammatical Optimization
A java based framework for grammatical evolution.
This project is a result for my curiosity for how grammatical evolution (GE) works. Eventually, I made this wrapper for GE that should work with any numerical optimization algorithm. So the idea behind GE is that it takes production rules for computer programs using a context free grammar in Backus Naur form. The production rules can be used to evolve computer programs by running an algorithm such as a genetic algorithm or a particle swarm optimizer in the background. -
4
AppM Build Automation
Automated software application for constructing and building projects.
AppM Build Automaiton is an open source and automated software application that is used to construct and build projects on different operating systems and using different development environments. General principles of implementation: -Each project must have a Build Project File, containing the necessary information on the construction of the project. For example, a unique name of the project, dependence on other projects and libraries, methods of construction, etc. Thus, the entire... -
Crowdtesting That Delivers | TesteumTesteum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights. Click to perfect your product now.
-
5
FamSeq
Variant calling on the basis of pedigree information
... implementations of the Mendelian genetic model: the Bayesian network algorithm, Elston-Stewart algorithm and Markov chain Monte Carlo algorithm. To make the software efficient and applicable to large families, we parallelized the Bayesian network algorithm that copes with pedigrees with inbreeding loops without losing calculation precision on an NVIDIA® graphics processing unit. -
6
SimpleFB_GA
a simple genetic algorithm written in FreeBasic
a FreeBasic-written Genetic Algorithm code is here deployed -
7
HfT GA RCPSP
Genetic Algorithm for the RCPSP
-
8
NEAT Visualizer SFML
A NEAT Implementation and Visualization System
Evolves neural networks using the Neuro-Evolution of Augmenting Topologies (NEAT) technique. A separate visualization system uses another genetic algorithm to evolve images of the otherwise dimensionless networks so their structure can be observed. -
9
VariantMaster
Extract causative variants for monogenic and sporadic genetic diseases
There is a fast growing interest in clinical genetics to the utilization of High Throughput Sequencing data for accurate diagnosis of monogenic diseases. To improve the identification of the variants from HTS, we developed VariantMaster, an original program that accurately and efficiently extracts causative variants in familial and sporadic genetic diseases. The algorithm takes into account predicted variants (SNPs and indels) in affected individuals or tumor samples and utilizes the row (BAM... -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
-
10
Bin Packing with Genectic Algorithm
Bin Packing problem solved using Genectic Algorithm
This project contains a solution for a Bin Packing problem solved using Genectic Algorithms. The code in the project was created as a solution for a problem in a combinatorial optimization class at the Univeridade Federal do Rio Grande do Sul (UFRGS - Brasil) in 2007. -
11
CPS StopWatch
A little stopwatch to manage your time
... with available time (Kleiton Santos) + 2.5.2 - Layout fix on report window (Tiago_Farias) - Auto PIN and double click on PIN button FIX (Fabiano_Ferreira) + 2.5 - Added Configuration Possibility - Added button to Configuration on Main Screen - Added Information Button on Main Screen - Improved time algorithm - Utilization of a Config.ini file to save personalizated settings. + 2.4.1 - Removed minimize button from main window - Fixed sound on last 20 seconds when using Windo -
12
niGA
Heterogenous Multiprocessor Scheduling Using Genetic Algorithms
Implementation of task scheduling using Genetics algorithm for heterogeneous parallel programming -
13
OBSOLETE s-ga
genetic algorithm
Obsolete. Moved to the new Project 'sgena' -
14
ABM-Calibration-SensitivityAnalysis
Codes and Data for Calibration and Sensitivity Analysis of ABM
... fitting: 1. Full Factorial Design 2. Simple Random Sampling 3. Latin Hypercube Sampling 4. Quasi-Newton Method 5. Simulated Annealing 6. Genetic Algorithm 7. Approximate Bayesian Computation b. Sensitivity Analysis: 1. Local SA 2. Morris Screening 3. DoE 4. Partial (Rank) Correlation Coefficient 5. Standardised (Rank) Regression Coefficient 6. Sobol' 7. eFAST 8. FANOVA Decomposition Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html -
15
Evochumps
Evolving recursive artificial neural networks in a simulation.
Evochups allows you to create a simple simulation environment where individuals called "chumps" display behavior according to their simulated brains. Each Chump has a recursive neural network which takes input from thier environment and controls the chump's behavior. It has a built-in evolutionary algorith to let the brains evolve conditoned to selective pressure. The program's interface allows you to manipulate all kinds of parameters of both the simulation, the genetic algorithm, and each... -
16
ALCHEMY is a genotype calling algorithm for Affymetrix and Illumina products which is not based on clustering methods. Features include explicit handling of reduced heterozygosity due to inbreeding and accurate results with small sample sizes
-
17
PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy. -
18
Model Based Test Generator
Model Based Test Generator from UML
The purpose of this project is creating test cases from uml statemachine and Class diagram with OCL constraint. We use forward search strategy to creating abstract test cases and using genetic algorithm for creating test data. -
19
NNBrain
A free, open source collection of neural network based AI agents.
NNBrain is a free and open source collection of artificial intelligence agents. These agents have applications in video games, research, business, and more. The included agents function in both discrete and continuous action and state spaces. -
20
Tetris AI
A try to demonstrate an AI module based on doubled genetic algorithm.
-
21
OpenAIL
Open Artificial Intelligence Library
[Open Artificial Intelligence Library]. This library main goal is to provide a tool box to those who want to use algorithm such as neural network or genetics Algorithm and all algorithms that are commonly within the Artificial Intelligence field. -
22
AEvolution
Artificial life game
Artificial life game using a genetic algorithm in a simple 2D world. -
23
Reactor Breeder
A Genetic Algorithm for Reactors in StarMade
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space... -
24
Genetic Polynomials
genetic algorithm to approximate a set of points with polynomial
genetic algorithm to approximate a set of points with polynomial -
25
Open Genetic Algorithm Toolbox
This is a MATLAB toolbox to run a GA on any problem you want to model.
This is a toolbox to run a GA on any problem you want to model. You can use one of the sample problems as reference to model your own problem with a few simple functions. You can collaborate by defining new example problems or new functions for GA, such as scaling, selection or adaptation methods. In that case, you should then include your credits in the file, upload it to matlab central and contact the author. Suggestions are also welcome but naturally I won't be able to attend...
