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Avida is an artificial life software platform to study the evolutionary biology of self-replicating and evolving computer programs (digital organisms).Avida is under active development by Charles Ofria's Digital Evolution Lab at Michigan State University; the first version of Avida was designed in 1993 by Ofria, Chris Adami and C. Titus Brown at Caltech, and has been fully reengineered by ...
Niche: A Genetics Survival Game is a simulation video game developed and published by Stray Fawn Studio. It entered early access for Windows, OS X, and Linux-based systems in September 2016 after a successful Kickstarter crowd-funding campaign and was released in September 2017. Its main aim is to breed certain traits or genes into a group of ...
The classic example of a mutation operator of a binary coded genetic algorithm (GA) involves a probability that an arbitrary bit in a genetic sequence will be flipped from its original state. A common method of implementing the mutation operator involves generating a random variable for each bit in a sequence. This random variable tells whether ...
Pages in category "Video games about genetic engineering" The following 37 pages are in this category, out of 37 total. This list may not reflect recent changes .
Evolution: The Game of Intelligent Life is a life simulation and real-time strategy computer game that allows players to experience, guide, and control evolution from an isometric view on either historical earth or on randomly generated worlds while racing against computer opponents to reach the top of the evolution chain, and gradually evolving the player's animals to reach the "grand goal of ...
SimLife running on Windows Vista. The producers of SimLife refer to it as "The Genetic Playground". The game allows users to explore the interaction of life-forms and environments. Users can manipulate the genetics of both plants and animals to determine whether these new species could survive in the Earth's various environments.
Evolution strategy (ES) from computer science is a subclass of evolutionary algorithms, which serves as an optimization technique. [1] It uses the major genetic operators mutation , recombination and selection of parents .
Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population of programs. It applies the genetic operators selection according to a predefined fitness measure , mutation and crossover .