06002388

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06002388 Li, Panchi Song, Kaoping Yang, Erlong A chaos quantum immune algorithm based on phase encoding. Control Theory Appl. 28, No. 3, 375-380 (2011). 2011 South China University of Technology, Guangzhou ZH quantum algorithm immune algorithm phase encoding chaos optimization Summary: Binary encoding based on qubit measures is commonly used in quantum swarm intelligent optimization algorithms. Due to frequent decoding operations, the efficiency of optimization is greatly reduced when a binary quantum algorithm is applied to a continuous optimization problem. To deal with this problem, a chaos quantum immune algorithm is proposed, in which the individual antibodies are directly encoded by the phase of qubits. The dominant individuals are cloned by quantum rotation gates. The local search is achieved by employing the chaos variables in the rotation angles of quantum rotation gates. The global search is achieved by mutations of the inferior individuals based on quantum Pauli-Z gates. Because the optimization process is performed over $[0,2\pi]^n$ which has nothing to do with the specific issues, the proposed method has a good adaptability for a variety of optimization problems. Experimental results indicate that the proposed algorithm effectively improves the search capabilities and optimizes the efficiency of the general immune optimization algorithm.