文件名称:QGA11
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量子遗传算法（QGA-Quantum Genetic Algorithm）是量子计算与经典遗传算法(GA)相结合而产生的一个新的研究领域。算法利用了量子计算的量子并行、量子纠缠特性，采用了多状态基因量子比特编码方式和量子旋转门更新操作，引入动态和静态调整旋转角机制和量子变异，使得算法比经典遗传算法具有更强的并行处理能力、更快的收敛速度且比传统信号检测算法具有更高的效率。-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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下载文件列表
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