GeneticAlgorithms 4+

search and optimisation method

Ilona Kosinska

Designed for iPad

    • Free

Screenshots

Description

Program for computer simulation of artificial genetic populations. This app is mainly used for function optimization, i.e. finding the minimum or maximum of a function.

Genetic algorithms are one of the search and optimisation methods. The aim of optimisation is to increase efficiency in reaching a certain optimal value. Genetic algorithms are based on the mechanisms of natural selection and heredity. The basic genetic algorithm is built from three operations: reproduction, crossing, and mutation. Genetic algorithms operate on populations of coding sequences and use random selection rules to search for the global optimal value. However, these random rules are defined to give the appropriate direction of the search. This basic procedure is enhanced by certain genetic manipulations, such as those seen in nature. They include the mechanisms of dominance, diploidy, reconfiguration, translocation, deletion and duplication and occur at the chromosome level.

What’s New

Version 1.1

This release includes bug fixes. Improved user interface, fixes especially important when running apps on Mac (designed for iPad).

App Privacy

The developer, Ilona Kosinska, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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