安徽农业科学2012，Vol.40Issue(8)：4469-4472,4.
量子人工鱼群算法
Quantum Artificial Fish School Algorithm
摘要
Abstract
To improve search ability and optimization efficiency and avoid premature convergence for artificial fish school algorithm (AFSA), a novel quantum AFSA for continuous space optimization was proposed. Artificial fishes were encoded by the phase of quantum bit,evolved by quantum rotation gates, and mutated by quantum Pauli-Z gate. The simulation results showed that the approach is superior to either common AFSA or simple genetic algorithm in both search capability and optimization efficiency.关键词
相位编码/人工鱼群优化/优化算法Key words
Phase encoding/ AFSA/ Optimization algorithm分类
农业科技引用本文复制引用
齐名军,王鹏宇..量子人工鱼群算法[J].安徽农业科学,2012,40(8):4469-4472,4.基金项目
河南省高等教育省级重点研究基金项目(200 9SJGJX361). （200 9SJGJX361）
