Description: Quantum Genetic Algorithm (QGA-Quantum Genetic Algorithm) is quantum computation and classical genetic algorithm (GA) combined to produce a new field of study. Algorithm takes advantage of quantum computing quantum parallelism, quantum entanglement properties, using a multi-state gene encoding qubits and quantum turnstile update operations, the introduction of dynamic and static rotation angle adjustment mechanism and quantum of variation, so the algorithm has stronger than the classical genetic algorithm parallel processing capabilities, faster convergence and higher than the conventional signal detection algorithm is more efficient.
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matlab编写的量子遗传算法\Catastrophe.m
........................\CreatQ.m
........................\FitEva1.m
........................\FreqCalcu.m
........................\Gate.m
........................\InitiaInd1.m
........................\lianxi1.m
........................\main.m
........................\Migration.m
........................\PaiXu.m
........................\Target.m
........................\test.m
........................\tranQ2R.m
matlab编写的量子遗传算法
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