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UnitCommitment
- 源自电力系统运行与控制一书，简单的机组组合问题（UC）算例程序(包括主程序、经济调度程序以及动态规划程序)-basic code for Unit Commitment（including mainUC, economic dispatch and dynamic program）
QGA_image_segmentation
- 量子遗传算法最大熵法图像多阈值分割程序下载。阈值的个数直接指定即可。-image segmentation based on quantum-inspired genetic algorithm
QEAsolvePackage
- 最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack pr
QEAsolveOptimization
- 最近两年流行的量子进化算法程序，能够优化一下基本的问题，本程序是基于一个连续的极值问题。-The last two years the popular quantum-inspired evolutionary algorithm process, to optimize the basic questions about this program is based on a continuous extremal problem.
src
- 用量子进化算法解决机械工业生产调度问题，算法简单易懂，适合初学者。-Using quantum-inspired evolutionary algorithm to solve the mechanical industrial production scheduling problem, the algorithm easy to understand for beginners.
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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 characte
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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
Application
- 本文将以改进后的单细胞FPTA2作为硬件演化平台，引入QEA控制其演化过程，通过实验证明在该平台上，QEA对演化过程的控制效果要优于传统的遗传算法。-This paper proposes the use of quantum-inspired evolutionary algorithm in analog evolvable hardware (EHW). The circuit coding representation, chr
05159356
- Quantum-Inspired Evolutionary Algorithm Approach for Unit Commitment
fun
- PSO算法，Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems-PSO algorithm，Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MI
Quantum-Inspired-BPSO
- 此為應用MATHCAD來編寫BPSO，為粒子群優演算法，可應用於求解最佳化過程，可跑小系統之模擬，簡單又好用-This is the application to write MATHCAD BPSO, particle swarm optimization algorithm can be applied to solve the optimization process, the simulation can run a small
qpso2
- 量子遗传算法是量子计算与遗传算法相结合的产物。目前，这一领域的研究主要集中在两类模型上：一类是基于量子多宇宙特征的多宇宙量子衍生遗传算法(Quantum Inspired Genetic Algorithm)，另一类是基于量子比特和量子态登加特性的遗传量子算法(Genetic Quantum Algorithm,GQA)。-Quantum Inspired Genetic Algorithm)