Description: 此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference Platform: |
Size: 2048 |
Author:jhon |
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Description: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值。-Quantum particle swarm optimization algorithm, using matlab programming, can be optimized for fast multi-dimensional functions, not easily trapped into local optimal values. Platform: |
Size: 1024 |
Author:李志远 |
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Description: 关于量子和量子群优化算法求解NP问题的论文，其中还包括一篇介绍详细的硕士论文，全中文，对于初学者很有帮助。-On the Quantum and Quantum Swarm Optimization for NP issues papers, including a detailed introduction of the master Platform: |
Size: 8339456 |
Author:sandror |
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Description: 量子遗传算法对标准函数的优化，在matlab下的源程序-Quantum genetic algorithm optimization of the standard function in matlab source code under the Platform: |
Size: 12288 |
Author:李晓东 |
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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 |
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Description: 基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优-The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization Platform: |
Size: 2048 |
Author:刘兴阳 |
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Description: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value Platform: |
Size: 1024 |
Author:王兰彬 |
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Description: [原]【创】求解函数最值，基于量子相位的量子遗传算法，c++实现-QUANTUM GENETIC ALGORITHM, FIND THE OPTIMIZATION of function value , IN VC++ code ENVIROMENT Platform: |
Size: 81920 |
Author:jun |
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Description: 量子计算与量子优化算法的部分程序，感兴趣的可以下载学习-Quantum computing and quantum optimization algorithm part of the program interested you can download to learn ~ ~ Platform: |
Size: 13312 |
Author:张茜琳 |
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Description: The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value. Platform: |
Size: 2048 |
Author:ramin |
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Description: 针对单级多资源约束生产批量计划问题,提出了基于量子粒子群算法求解该问题的方法。此算法将量子强大的领域搜索能力和基本粒子群算法(PSO)通过跟踪极值更新粒子的功能-On a single stage production lot-sizing problem of resource constraints, based on quantum particle swarm algorithm is proposed to solve the problem.The algorithm to the field of quantum powerful search ability and basic particle swarm optimization (PSO) through the tracking function of extremum updating particles Platform: |
Size: 2048 |
Author:张亿 |
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