Stepwising vs GeneticAlgorithms使用状況と統計
Stepwising invites you to explore, play with, and learn about gravity. You can check out Kepler's laws of planetary motion, observe and discover solutions to the 3-body problem, or try to drive a frictionless car around a circular track of ice.
The program closely approximates the motion of stars, planets, moons, and other celestial objects moving through space under the influence of their gravitational fields. It does this recursively: an object's position determines the amount of force on it, the amount of force on it determines its acceleration, its acceleration determines its average velocity over a short period of time, and its average velocity determines its next position. If the time interval between calculations is small, a very good approximation of the motion is produced.
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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.
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Stepwising VS. 
GeneticAlgorithms12月 15, 2024