Software Listing: Evolutionary

The Interactive Evolutionary Art application was crated in order to produces evolutionary abstract art.

The computer is used to generate a random population of images and the user is allowed to evolve them through one of the evolutionary methods available.

Images are created from randomly created expression trees, which are evaluated and mapped to an RGB color model.

The images can be combined together by using crossover or mutated using ‘point mutation’ or ‘subtree mutation’. Throughout the whole time the user navigates the development of the image.

  • Platform: WinOther

An IDE written in Java used to develop, visualize, test and Benchmark evolutionary algorithms. The IDE is fully modular, allowing new algorithms to be added as plugins. It can be used to develop other algorithms as well.

  • Platform: Win2000, WinOther
  • DNATREE
  • License: Freeware
  • Price: 0.00
  • Rating

DNATREE is a computer program that simulates the branching of an evolutionary tree, using a model of random branching of lineages. It then evolves a DNA sequence along this tree, and displays the resulting sequences. The user can save the tree and the sequences if they want to use them in other programs. The user can control the expected rate of evolution of the sequences per unit time, and the transition/transversion ratio. After the tree and the sequences are simulated, the program creates a randomly-chosen tree for the same species, one unrelated in structure to the true tree. The user can then rearrange the tree by hand.

  • Platform: WinOther

Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components..

  • Platform: Linux, Mac OS X, WinOther

ECF is a C++ framework intended for application of any type of evolutionary computation (GA, GP, PSO, GAn...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners..

  • Platform: WinOther

Evolutionary Elliot Wave Trading Project, has it's roots in the book Mastering Elliott Wave by Glen Neely and recommends that any developer purchase this book and use it as Low Level Design Document. Code as now parses Excel Data to MonoWaves, and l.

  • Platform: WinOther

The Evolutionary Environment (EvENet) provides a P2P Network for guiding the evolution of Software Services and Service Compositions over time. This evolution is based on knowledge sharing and optimised using GA and Agent Systems. It is part of the DBE..

  • Platform: Linux, Mac OS X, WinOther

JECO is a Evolutionary Computation Library deveoloped in Java. It includes a variety of evolutionary optimization techniques such as genetic algorithm, genetic programming, evolutionary mapping methods, particle swarm optimization, ant colonies, etc..

  • Platform: Linux, Mac OS X, WinOther

The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial and parallel evolutionary algorithms. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface. Features: - Darwinian, Lamarckian or Baldwinian evolutionary schemes. - Both steady-state and generation-based GAs included.

  • Platform: C and C plus plus, Scripts

This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go. The core of the optimization is the Differential Evolution algorithm. However, this package provides much more than the code available on the Differential Evolution homepage: http://www.icsi.berkeley.edu/~storn/code.html Here is a list of some features: * Optimization can run in parallel on multiple cores/computers.

  • Platform: Matlab, Scripts

Interactive Evolutionary Computation (IEC) can handle such optimization problems where the objectives are non-commensurable or explicitly/mathematically not available. IEC is a technique from the class of evolutionary algorithms (EAs), whose fitness function is replaced by a human. The human user selects one or more individual(s) which survive(s) and reproduce(s) (with variation) to constitute a new generation. See the iec.m file for brief example. See http://www.fmt.vein.hu/softcomp/EAsy/index.html for more help..

  • Platform: Matlab, Scripts

ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politdoducnica de Valdoduncia. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of epsilon dominance. ev-MOGA, tries to obtain a good approximation to the Pareto Front in a smart distributed manner with limited memory resources. It also adjusts the limits of the Pareto front dynamically. Details about ev-MOGA are described in (please, cite this algorithm as): [1] M. MartdoTsnez, J.M. Herrero, J. Sanchis, X. Blasco and S. GarcdoTsa-Nieto.

  • Platform: Matlab, Scripts

This function uses Evolution Strategies (ES) instead of Genetic Algorithms (GA) as Evolutionary Algorithm (EA) in the NSGA-II procedure for multi-objective optimization. The algorithm is able to find the pareto optimal front in most of the functions implemented in the file 'Examples.m', but the algorithm is unable to find the Pareto optimal front of the functions ZDT1, ZDT2, ZDT3, ZDT4 (Cases 11, 12, 13, 14 in file 'Examples.m') when the number of states is set to 30 (for ZDT1, ZDT2, ZDT3) and 10 (for ZDT4) as Prof. Deb specified in [1], but the pareto is found if the number of states is set to 2 (in those examples).

  • Platform: Matlab, Scripts

This project aims to build various tools to run evolutionary game theory experiments.
Evolutionary Game Theory Tools in Java License - GNU General Public License version 2.0 (GPLv2).

  • Publisher: Jegt
  • Date:
  • Platform: WinOther

Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
Parallel Reinforcement Evolutionary ANN License - GNU General Public License version 3.0 (GPLv3).

  • Platform: WinOther

A Java library for evolutionary biology and bioinformatics, including objects representing biomolecular sequences, multiple sequence alignments and phylogenetic trees.
Java Evolutionary Biology Library License - GNU Library or Lesser General Public License (LGPL).

  • Publisher: Jebl
  • Date:
  • Size: 1070 KB
  • Platform: WinOther

PEBLS Evolutionary Biology Libraries (PEBLs) provides a framework to develop programs quickly and effectively in Java, C++, and C.
PEBLS Evolutionary Biology Libraries License - GNU Library or Lesser General Public License (LGPL).

  • Platform: WinOther

A set of tools for population level and agent based modeling in evolutionary game theory.
Evolutionary Game Theory Modeler License - GNU General Public License (GPL).

  • Platform: WinOther

Laboratory for evolutionary computing.
Laboratory for evolutionary computing License - GNU General Public License (GPL).

  • Platform: WinOther

STEA is a problem solving suite based on Evolutionary Algorithms.
Self-Tuning Evolutionary Algorithms License - GNU General Public License version 3.0 (GPLv3).

  • Publisher: Stea
  • Date:
  • Platform: WinOther

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