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- 量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上，对它们进行比较，阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evoluti
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- 分析量子进化算法和免疫算子的特点,提出一种分级变异的量子进化算法,用于求解多目标优化问题-Analysis of quantum-inspired evolutionary algorithms and immune operator characteristics, presents a hierarchical variation of the quantum-inspired evolutionary algorithm for solving multi-objective optimi
ALGORITHMS-FOR-NUMERICAL-ANALYSIS-IN-HIGH-DIMENSI
- Nearly every numerical analysis algorithm has computational complexity that scales exponentially in the underlying physical dimension. The separated representation, introduced previously, allows many operations to be performed with scaling that i
Quantum_Memetic_Evolutionary_Algorithm
- This paper is about quantum memetic algorithm
gjqpso
- 一种自适应变异的量子粒子群优化算法给出了自适应变异概率-An adaptive mutation quantum particle swarm optimization algorithm gives the adaptive mutation probability
qpso
- Quantum Particle swarm Optimization Algorithm
liangziyichuan
- 量子遗传代码，可以运行,希望能跟大家分享，提供宝贵的意见，一起学习！-matlab-Genetic-Quantum-Algorithm