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[ApplicationsUnitCommitment

Description: 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)
Platform: | Size: 4096 | Author: 张铭泽 | Hits:

[AI-NN-PRQEAsolvePackage

Description: 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 problem (discrete binary problems).
Platform: | Size: 1024 | Author: 王潮 | Hits:

[AI-NN-PRQEAsolveOptimization

Description: 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.
Platform: | Size: 2048 | Author: 王潮 | Hits:

[JSP/Javasrc

Description: 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.
Platform: | Size: 10240 | Author: 蒋佳颖 | Hits:

[Algorithm1111

Description: 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 evolutionary algorithm and immune algorithm search mechanism based on the comparison of them to clarify the different characteristics of the two
Platform: | Size: 825344 | Author: daijiang | Hits:

[Algorithm12345

Description: 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 optimization problems
Platform: | Size: 389120 | Author: daijiang | Hits:

[AI-NN-PRApplication

Description: 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, chromosome fitness evaluation method and evolution process of the analog EHW are presented. By the experiments of evolving the circuits of amplifier, full-wave rectifier, integrator and OR-gate on the second generation field programmable transistor array (FPTA-2), the evolutionary performances of are demonstrated. Results show that QEA could get better results and with higher evolutionary speed than genetic algorithm
Platform: | Size: 1586176 | Author: MR li | Hits:

[SCM05159356

Description: Quantum-Inspired Evolutionary Algorithm Approach for Unit Commitment
Platform: | Size: 296960 | Author: power | Hits:

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