Quantum genetic algorithm optimization in TDMA time slot allocation for WSN

In order to overcome the premature, enhance the searching ability, improve the convergence speed, this paper propose a catastrophic real-coded chaotic quantum-inspired genetic algorithm (CRCQGA), in multimodal function test, this algorithm is the test result is good; and the algorithm is applied to many to one transmission mode of WSN (Wireless Sensor Network) TDMA (Time Division Multiple Access) time slot allocation optimization, simulation results show that CRCQGA and real-coded quantum genetic algorithm (RCQGA), ant colony algorithm (ACA) compared with highest accuracy, convergence speed is the fastest.