Matlab quantum genetic algorithm
2016-08-23
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Application background
Quantum genetic algorithm is a combination of quantum computation and genetic algorithm. At present, the research in this field is mainly focused on two kinds of models: one is based on quantum multi universe quantum Algorithm Quantum (Inspired Genetic), the other is based on quantum bit and quantum state based on the additive genetic quantum algorithm (Quantum Algorithm Genetic, GQA).Quantum genetic algorithm (GeneticA lgorithm Quantum, QGA). QGA uses the multi state gene quantum bit encoding way and universal quantum rotation gate operation. Introducing the dynamic adjustment of the rotation angle mechanism and quantum crossover, which is more general than the method of literature [2], and the efficiency is higher. But the method is still a group of evolution without the use of the interference of the information of the universe and the entanglement of the universe and the efficiency of the efficiency needs to be further improved. Parallel Qmatlab
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