genetic algorithms
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Genetic Algorithms Class Library 1
Genetic Algorithms Class Library is an advanced program which satisfies you with a free, simple, powerful, fully Object Oriented, C++, open source, Genetic Algorithms Class Library. more>>
Genetic Algorithms Class Library 1 is an advanced program which satisfies you with a free, simple, powerful, fully Object Oriented, C++, open source, Genetic Algorithms Class Library. This is a product developed personally and wanted to be shared by all of the world for free. It is an Object Oriented (OO) C++ class library that can be extended very easily. It is very simple but powerful tool.
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Added: 2006-10-23 License: Freeware Price:
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Genetic Algorithm Library 1.3
set of classes & utilities which provides to use genetic algorithms more>> Genetic Algorithm Library contains a set of classes and utilities which provides easy way to use genetic algorithms to solve optimization problems in C++ applications. The library provides many genetic operations and several types of algorithms. It is highly customizable and easy to use. Only Microsoft Windows platform, Microsoft Visual C++ and Intel C++ compilers are supported. Genetic Algorithm library is currently is in beta testing.
Basic features of the library:
- Many genetic operations, chromosomes representation interfaces and different genetic algorithm.
- Easy customization of the library by using provided interfaces for genetic operations and chromosome representations.
- Support for multiple processors/cores with multithreaded execution of genetic algorithms.
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Added: 2008-10-27 License: Freeware Price:
424 downloads
Genetic Algorithm Viewer 1.0
Genetic Algorithm Viewer was designed to show the functioning of a genetic algorithm more>>
Genetic Algorithm Viewer was designed to show the functioning of a genetic algorithm.
Genetic Algorithm Viewer permits the user to test the major parameters of a genetic algorithm.
Physics, Biology, Economy or Sociology often have to deal with the classical problem of optimization. Economy particularly has become specialist of that field1. Generally speaking, a large part of mathematical development during the XVIIIth century dealt with that topic (remember those always repeated problems where you had to obtain the derivative of a function to find its extremes).
Purely analytical methods widely proved their efficiency. They nevertheless suffer from a insurmountable weakness : Reality rarely obeys to those wonderful differentiable functions your professors used to show you2.
Other methods, combining mathematical analysis and random search have appeared. Imagine you scatter small robots in a Mountainous landscape.
Those robots can follow the steepest path they found. When a robot reaches a peak, it claims that it has found the optimum. This method is very efficient, but theres no proof that the optimum has been found, each robot can be blocked in a local optimum. This type of method only works with reduced search spaces.
<<lessGenetic Algorithm Viewer permits the user to test the major parameters of a genetic algorithm.
Physics, Biology, Economy or Sociology often have to deal with the classical problem of optimization. Economy particularly has become specialist of that field1. Generally speaking, a large part of mathematical development during the XVIIIth century dealt with that topic (remember those always repeated problems where you had to obtain the derivative of a function to find its extremes).
Purely analytical methods widely proved their efficiency. They nevertheless suffer from a insurmountable weakness : Reality rarely obeys to those wonderful differentiable functions your professors used to show you2.
Other methods, combining mathematical analysis and random search have appeared. Imagine you scatter small robots in a Mountainous landscape.
Those robots can follow the steepest path they found. When a robot reaches a peak, it claims that it has found the optimum. This method is very efficient, but theres no proof that the optimum has been found, each robot can be blocked in a local optimum. This type of method only works with reduced search spaces.
Download (naMB)
Added: 2007-04-09 License: Freeware Price:
962 downloads
Genetic Algorithm Framework 1.0
Genetic Algorithms are a particular class of evolutionary algorithms (also known as evolutionary computation) that use techniques inspired by evolutionary biology such as inheritance, mutation, more>> Genetic Algorithms are a particular class of evolutionary algorithms (also known as evolutionary computation) that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover (also called recombination).
Genetic algorithms are imlpemented as a computer simulation in which a population of abstract representations (called chromosomes or the genotype or the genome) of candidate solutions (called individuals, creatures, or phenotypes) to an optimization problem evolves toward better solutions.<<less
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Added: 2008-10-31 License: Freeware Price:
485 downloads
Prim Algorithm Rev 2.0
Demonstrates the PRIM Algorithm to find the minimum Spanning Tree for a Network. more>> Demonstrates the PRIM Algorithm to find the minimum Spanning Tree for a Network.
The Prim Algorithm application was designed to be a simple tool that will demonstrate the PRIM Algorithm to find the minimum Spanning Tree for a Network.
<<less Download (84KB)
Added: 2008-10-02 License: Freeware Price: FREE
504 downloads
Dijkstra Algorithm 1.0
Dijkstra program can be used to find the shortest path to the destination. more>>
Dijkstra program can be used to find the shortest path to the destination. Dijkstra program can be used to find the shortest path to the destination.
This is a complex algorithm used by routers running link-state routing protocols.
Dijkstra Algorithm is also easy-to-use, small and simple and does not require any installation.
<<lessThis is a complex algorithm used by routers running link-state routing protocols.
Dijkstra Algorithm is also easy-to-use, small and simple and does not require any installation.
Download (315KB)
Added: 2007-06-27 License: Freeware Price:
1066 downloads
Geneious 4.7.6
Geneious is a free automatically-updating library of genomic and genetic data giving you a fully integrated, visually-advanced toolset for sequence alignment and phylogenetics, sequence analysis, BLAST, Protein structure viewing, NCBI, EMBL, Pubmed auto-find. Geneious includes an API for creating you own plugins. more>> <<less
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Added: 2009-09-21 License: Freeware Price: Notavailable
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Other version of Geneious
with including genomic and genetic data, supplying a fully integrated, visually-advanced ... genomic and genetic data, supplying a fully integrated, visually-advanced toolset forPrice: $0.00
License:Freeware
License:Freeware
Geneious is a program known as an automatically-updating library of genomic and genetic data ... Geneious 4.7.5 is a program known as an automatically-updating library of genomic and geneticPrice: $0.00
License:Freeware
License:Freeware
effective and trustworthy automatically-updating library of genomic and genetic data ... genomic and genetic data. It provides a fully integrated, visually-advanced toolset forLicense:Freeware
Geneious is an automatically-updating library of genomic and genetic data; that provides a ... Geneious is an automatically-updating library of genomic and genetic data; that provides aLicense:Freeware
Genotype Calculator 1.01
Simulate the genetic makeup of an F1 generation based on the alleles of two parents. more>>
Genotype Calculator 1.01 is designed as a free program that simulates the genetic makeup of an F1 generation based on the alleles of two parents. Useful for quickly simulating Punnett Squares (even up to 20 alleles per parent).
Enhancements: Fixes some bugs and adds the calculation time to the data displayed.
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Added: 2008-03-13 License: Freeware Price:
80 downloads
Optimization Algorithm Toolkit - OAT 1.3
Ease working with classical and state-of-the-art optimization algorithms on standard benchmark problem domains more>>
Ease working with classical and state-of-the-art optimization algorithms on standard benchmark problem domains The Optimization Algorithm Toolkit (OAT) is a workbench and toolkit for developing, evaluating, experimenting, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations (Java), graphing, visualizations and much more.
Main features:
- Graphical User Interface (GUI) with graphs, configuration dialogs, visualizations and much more for the research scientist and interested novice alike.
- Fully featured Application Programming Interface (API) for experimentation, implementation of additional algorithms and problem domains.
- Source code is included to help you learn more about how optimization algorithms work, and to contribute new algorithms and problems to the project.
- Example code to get you up and running quickly and unit tests to ensure algorithm robustness and consistency.
- Provides a focus on computational intelligence and biologically inspired optimization algorithms such as evolutionary algorithms, artificial immune system algorithms, particle swarm optimization, ant colony optimization, and much more.
- Provides literature references for all algorithm implementations (See a full algorithm listing with references).
- Problem Domains Include:
- Continuous Function Optimization, including 24 Algorithms not limited to Evolutionary Algorithms, Artificial Immune System Algorithms, Physics Algorithms, Swarm Algorithms, and Random Algorithms. 69 problem instances not limited to classic functions such as De Jongs F-series, Ackley, Easom, Goldstein, Griewangk, Langermann, Michalewicz, Rastrigin, Rosenbrocks Valley, Schwefel, Six Hump Camel Back, Three Pot Holes, Mahfouds M-series, Bohachevsky, Hansen, Shubert, and many others.
- Huygens Search & Optimization Benchmark Suite: all function optimization algorithms, billions of fractal optimization instances, benchmark server, and much more
- Traveling Salesman Problem (TSP), including 10 algorithms not limited to Ant Colony Optimization, Evolutionary Algorithms, Artificial Immune System Algorithms, and Random Algorithms. 15 problem instances from TSPLib including Berlin52, Burma14, Ulysses22, and many others.
- Protein Folding (Protein Structure Prediction - PSP), including 3 algorithms including Evolutionary Algorithms, and Random Algorithms. 14 problem instances all examples of Dills Hydrophobic-Polar (HP) Model
- Binary Optimization Functions including 6 algorithms not limited to Evolutionary Algorithms, Bit Hill-Climbers, Artificial Immune System Algorithms, and Random Algorithms. 10 problem instances not limited to Trap Functions, Deceptive Functions, Massively Multimodal, OneMax, and others.
- Graph Coloring Problem (GCP), including 2 algorithms including an Artificial Immune System algorithm, 56 problem instances all benchmark instances from the GCP repository on Michael Tricks Operations Research page
- Binary Character Recognition (BCR): 2 algorithms, 1 problem instance (lippman binary character recognition)
System requirements:
- Java
<<lessMain features:
- Graphical User Interface (GUI) with graphs, configuration dialogs, visualizations and much more for the research scientist and interested novice alike.
- Fully featured Application Programming Interface (API) for experimentation, implementation of additional algorithms and problem domains.
- Source code is included to help you learn more about how optimization algorithms work, and to contribute new algorithms and problems to the project.
- Example code to get you up and running quickly and unit tests to ensure algorithm robustness and consistency.
- Provides a focus on computational intelligence and biologically inspired optimization algorithms such as evolutionary algorithms, artificial immune system algorithms, particle swarm optimization, ant colony optimization, and much more.
- Provides literature references for all algorithm implementations (See a full algorithm listing with references).
- Problem Domains Include:
- Continuous Function Optimization, including 24 Algorithms not limited to Evolutionary Algorithms, Artificial Immune System Algorithms, Physics Algorithms, Swarm Algorithms, and Random Algorithms. 69 problem instances not limited to classic functions such as De Jongs F-series, Ackley, Easom, Goldstein, Griewangk, Langermann, Michalewicz, Rastrigin, Rosenbrocks Valley, Schwefel, Six Hump Camel Back, Three Pot Holes, Mahfouds M-series, Bohachevsky, Hansen, Shubert, and many others.
- Huygens Search & Optimization Benchmark Suite: all function optimization algorithms, billions of fractal optimization instances, benchmark server, and much more
- Traveling Salesman Problem (TSP), including 10 algorithms not limited to Ant Colony Optimization, Evolutionary Algorithms, Artificial Immune System Algorithms, and Random Algorithms. 15 problem instances from TSPLib including Berlin52, Burma14, Ulysses22, and many others.
- Protein Folding (Protein Structure Prediction - PSP), including 3 algorithms including Evolutionary Algorithms, and Random Algorithms. 14 problem instances all examples of Dills Hydrophobic-Polar (HP) Model
- Binary Optimization Functions including 6 algorithms not limited to Evolutionary Algorithms, Bit Hill-Climbers, Artificial Immune System Algorithms, and Random Algorithms. 10 problem instances not limited to Trap Functions, Deceptive Functions, Massively Multimodal, OneMax, and others.
- Graph Coloring Problem (GCP), including 2 algorithms including an Artificial Immune System algorithm, 56 problem instances all benchmark instances from the GCP repository on Michael Tricks Operations Research page
- Binary Character Recognition (BCR): 2 algorithms, 1 problem instance (lippman binary character recognition)
System requirements:
- Java
Download (7.17MB)
Added: 2007-07-14 License: GPL Price:
552 downloads
Genetic Sequence Binary Factor Grouping 2.0
Genetic Sequence Binary Factor Grouping is a comprehensible tool to derive complex genetic sequence groups and group sequences from mRNA CEL V3 scan files. more>> <<less
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Added: 2009-10-24 License: Freeware Price: Notavailable
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Other version of Genetic Sequence Binary Factor Grouping
Jasenko Dzinleski - Genetic Sequence Binary ... easy and effective method for reviewing complex genetic sequences. Deriving complex geneticPrice: Notavailable
License:Freeware
License:Freeware
is a program to derive complex genetic sequence groups and group sequences from mRNA CEL V3 scan ... Genetic Sequence Binary Factor Grouping 1.5.1 is a program to derive complex genetic sequencePrice: $0.00
License:Freeware
License:Freeware
Jasenko Dzinleski - Deriving complex genetic sequence groups and ... Genetic Sequence BinaryLicense:Freeware
Electric Sheep 2.6.6
a free, open source screen saver run by thousands of people all over the world. more>> Electric Sheep is a free, open source screen saver run by thousands of people all over the world. It can be installed on any ordinary PC or Mac. When these computers sleep, the screen saver comes on and the computers communicate with each other by the internet to share the work of creating morphing abstract animations known as sheep. The result is a collective android dream, an homage to Philip K. Dicks novel Do Androids Dream of Electric Sheep.
Anyone watching one of these computers may vote for their favorite animations using the keyboard. The more popular sheep live longer and reproduce according to a genetic algorithm with mutation and cross-over. Hence the flock evolves to please its global audience. You can also design your own sheep and submit them to the gene pool. electric guitar effects<<less
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Added: 2008-03-17 License: Freeware Price: Free
1216 downloads
Mendels Accountant 1.0
Mendel is a numerical accounting program to track genetic change over time. more>>
Mendel is a numerical accounting program to track genetic change over time. Mendel is a numerical accounting program to track genetic change over time.
This is a user-friendly program which models the accumulation over time of mutations within a population - as it is affected by numerous biological parameters.
Mendel?s Accountant is a biologically realistic, forward-time, parallel, numerical simulation program which models genetic change within a population, as it is affected by selection and mutation.
System requirements:
- Mendel requires the installation of four free software packages: Internet Explorer 6.0 or later (Firefox will not work correctly), Apache 2.2.3 Webserver, Gnuplot, Perl 5.0. With the exception of Internet Explorer, these are all included in the full distribution of Mendel.
<<lessThis is a user-friendly program which models the accumulation over time of mutations within a population - as it is affected by numerous biological parameters.
Mendel?s Accountant is a biologically realistic, forward-time, parallel, numerical simulation program which models genetic change within a population, as it is affected by selection and mutation.
System requirements:
- Mendel requires the installation of four free software packages: Internet Explorer 6.0 or later (Firefox will not work correctly), Apache 2.2.3 Webserver, Gnuplot, Perl 5.0. With the exception of Internet Explorer, these are all included in the full distribution of Mendel.
Download (7MB)
Added: 2007-05-23 License: Freeware Price:
892 downloads
Encrypt Files 1.5
Free software to securely encrypt files and folders, 13 encryption algorithms! more>> Encrypt Files is free application to securely encrypt and password protect your confidential data. It is fast and lightweight desktop software that supports 13 advanced encryption algorithms, contains intergated shredder and makes files hidden after encryption. With Encrypt Files you can encrypt and password protect both files and folders.<<less
Download (1.0MB)
Added: 2007-04-16 License: Freeware Price: $0.00
939 downloads
electric sheep 2.7b11 Beta
electric sheep owes its name to Philip K. Dicks novel Do Androids Dream of Electric Sheep. It realizes the collective dream of sleeping computers from all over the internet. more>>
electric sheep 2.7b11 Beta is named after Philip K. Dicks novel Do Androids Dream of Electric Sheep. It realizes the collective dream of sleeping computers from all over the internet.
When the screen-saver is activated, the screen goes black and an animated sheep appears. Behind the scenes, the screen-saver contacts a server and joins the parallel computation of new sheep. Every fifteen minutes 24/7 a new sheep is born and distributed to all clients for display. Each sheep is an animated fractal flame.
Each sheep is about 4 seconds long. Its shape, motion, and color are specified by a genetic code, a long string of numbers. If users see a sheep they like, they can press the up arrow key to vote for the sheep. Sheep that receive more votes live longer and are more likely to reproduce. These votes form a fitness function for the esthetic evolution of the flock. Users can also download software to manually design genomes and post them to the server where they join the flock.
The initial download of "Sheep" is about 200Mb, so be prepared to wait a little while. If you have a BitTorrent Client you can manually download the "Sheep" HERE and place them in your sheep cache directory. (C:WINDOWSSystem32electricsheep-cachempeg)
Electric Sheep is a free, open source screen saver created by Scott Draves. It's run by thousands of people all over the world, and can be installed on any ordinary PC or Mac. When these computers "sleep", the screen saver comes on and the computers communicate with each other by the internet to share the work of creating morphing abstract animations known as "sheep". The result is a collective "android dream", an homage to Philip K. Dick's novel Do Androids Dream of Electric Sheep.
Anyone watching one of these computers may vote for their favorite animations using the keyboard. The more popular sheep live longer and reproduce according to a genetic algorithm with mutation and cross-over. Hence the flock evolves to please its global audience. You can also design your own sheep and submit them to the gene pool.
You may take a tour of the sheep web site and related documents. Don't miss the archive and lineages of top sheep from the current generation.
Major Features:
- A free, open source screen saver created by Scott Draves.
- Run by thousands of people all over the world, and can be installed on any ordinary PC or Mac.
- When these computers "sleep", the screen saver comes on and the computers communicate with each other by the internet to share the work of creating morphing abstract animations known as "sheep".
- The result is a collective "android dream", an homage to Philip K. Dick's novel Do Androids Dream of Electric Sheep.
WareSeeker Editor
Download (11.00MB)
Added: 2009-02-27 License: Freeware Price:
243 downloads
Java Neural Network 1
intermediate to advanced Java programmer how to create neural networks more>> Programming Neural Networks in Java will show the intermediate to
advanced Java programmer how to create neural networks. This book
attempts to teach neural network programming through two mechanisms.
First the reader is shown how to create a reusable neural network
package that could be used in any Java program. Second, this reusable
neural network package is applied to several real world problems that
are commonly faced by IS programmers. This book covers such topics as
Kohonen neural networks, multi layer neural networks, training, back
propagation, and many other topics.
Chapter 1: Introduction to Neural Networks
Chapter 2: Understanding Neural Networks
Chapter 3: Using Multilayer Neural Networks
Chapter 4: How a Machine Learns
Chapter 5: Understanding Back Propagation
Chapter 6: Understanding the Kohonen Neural Network
Chapter 7: OCR with the Kohonen Neural Network
Chapter 8: Understanding Genetic Algorithms
Chapter 9: Understanding Simulated Annealing
Chapter 10: Eluding Local Minima
Appendix A. JOONE Reference
Appendix B. Mathematical Background
Appendix C. Compiling Examples under Windows
Appendix D. Compiling Examples under Linux/UNIX<<less
Download (92KB)
Added: 2008-07-24 License: Freeware Price: Free
591 downloads
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