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Exploring Genetic Algorithms
comment No Comments Written by Ronald on February 13, 2008 – 11:52 pm

Genetic Algorithms are a way of solving problems by mimicking the same processes mother nature uses. They use the same combination of selection, recombination and mutation to evolve a solution to a problem.

Genetic algorithms are implemented 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. Traditionally, solutions are represented in binary as strings of 0s and 1s, but other encodings are also possible. The evolution usually starts from a population of randomly generated individuals and happens in generations. In each generation, the fitness of every individual in the population is evaluated, multiple individuals are stochastically selected from the current population (based on their fitness), and modified (recombined and possibly randomly mutated) to form a new population. The new population is then used in the next iteration of the algorithm. Commonly, the algorithm terminates when either a maximum number of generations has been produced, or a satisfactory fitness level has been reached for the population. If the algorithm has terminated due to a maximum number of generations, a satisfactory solution may or may not have been reached.

This technique creates a basis for me to use in my next great project following Verdis.. “(UNIV3RSE)” more information on this project will be coming soon, I guess this simple article will be the ice breaker t presenting a project that will take possibly months to years to complete.

In this project I will be developing a 3d small universe based off of artificial intelligence that operates much the like the way our own universe works. By creating a virtual miniature model of a space-time system, based off of genetic algorithms, in some way it is possible for people to have a better understanding of our own existence and the universe.

I will start off with star systems that can develop on their own, and have a birth and death much like the stars in our universe, I will also have galaxies developing on their own. There will be a ratio of earth time and (UNIV3RSE) time, where in about a week, your miniature universe should have one galaxy forming staring with a super massive black hole and star developments. Depending randomly based on genetic algorithms individual stars may be suitable to create terrain planets and if the calculations and position are right, artificial life will form on that planet for you to observe as they evolve through trial and error in a world much like ours that they can interact with. Every object will be able for them to interact with. Although this will involve a lot of Physics and understanding I am prepared for the challenge!

More in depth information will be available later on this year.
-Ronald A. Richardson

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About The Author: Ronald

I am Ronald A. Richardson, champion of the underworld!

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