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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
Level8.0
- 量子从头算法，量子化学从头计算法研究势能曲线-Ab initio
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
DYNAMO_v_1_2
- 量子控制算法 DYNAMO - Dynamic Framework for Quantum Optimal Control-Dynamic Framework for Quantum Optimal Control
lecture04
- 量子计算讲义4 讲解量子计算领域基础的几个量子算法-Lecture 4 explain quantum computing quantum computing based on several areas of quantum algorithms