Function optimization algorithm based on quantum g
2016-08-23
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Quantum genetic algorithms (Quantum Genetic Algorithm,QGA) is the quantum computation and genetic algorithms (Genetic Algorithm,GA) combination of product, is a new probability evolutionary algorithm. Quantum genetic algorithm is will quantum calculation and genetic algorithm phase combines and formed of a mixed genetic algorithm, it cover has traditional genetic algorithm of some insufficient; using quantum calculation of some concept and theory, as quantum bit, and quantum superimposed State,, using quantum bit coding chromosome, this probability site said can makes a quantum chromosome while expression multiple state of information, with quantum gate superimposed State of role as evolution operation, can is good to keep population diversity and avoid select pressure problem, But the information can easily be used to bootstrap the currently best individual variation, making populations with large probability to a good model to evolve, so as to realize the goal of optimization.
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