Description: 将博弈理论与演化算法结合起来，开发了一种新进化优化的算法-of Game Theory and combining evolutionary algorithm, the development of a new evolutionary optimization algorithm Platform: |
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Author:刘伟兵 |
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Description: 基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-evolutionary algorithm based on the multi-objective optimization to written Matlab program, please refer to reference Platform: |
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Description: 本文在量子进化算法的基础上结合基于克隆选择学说的克隆算子,提出了改进的进化算法———量子克
隆进化策略算法(QCES) . 它既借鉴了量子进化算法的高效并行性又利用克隆算子来代替其中的变异和选择操作,以
增加种群的多样性,避免了早熟,且收敛速度快. 本文不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了此
算法的优越性.-In this paper, quantum evolutionary algorithm based on the combination of clonal selection theory based on the cloning operator, made an improved evolutionary algorithm--- quantum cloning evolutionary strategy algorithm (QCES). It draws on quantum evolutionary algorithm and also makes use of parallelism and efficient cloning operator to replace one of the variation and selection of operation in order to increase population diversity to avoid premature, and fast convergence. This article is not only theoretically proved that the convergence of the algorithm, and through simulation experiments show the superiority of this algorithm . Platform: |
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Description: 在工业工程中,许多最优化问题性质十分复杂,很难用传统的优化方法来求解.自1960年以来,人们对求解这类难解问题日益增加.一种模仿生物自然进化过程的、被称为“进化算法（evolutionary algorithm）”的随机优化技术在解这类优化难题中显示了优于传统优化算法的性能。目前，进化算法主要包括三个研究领域：遗传算法、进化规划和进化策略。其中遗传算法是迄今为止进化算法中应用最多、比较成熟、广为人知的算法。-In industrial projects, many of the optimization problem very complex nature, it is difficult using traditional optimization methods to solve. Since 1960, people have to solve such difficult problems is growing. A mimic natural biological evolution, and was said as Platform: |
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Author:starboy_2nd |
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Description: 量子进化算法的性能直接受量子旋转门旋转角计算方法的影响.文中提出一种改进量子进化算法，核心是
设计了基于量子比特概率幅比值自适应计算量子旋转门旋转角的新方法，算法具有收敛速度快和全局搜索能力强
的特点.通过011背包问题分析了新方法中相关参数对算法性能的影响，并应用算法求解物流配送路径优化问题，仿真表明改进量子进化算法性能优于量子进化算法和传统进化算法.
-Quantum evolutionary algorithm performance directly affected by the quantum spin the revolving door method of calculating the impact angle. This paper presents an improved quantum evolutionary algorithm, the core is designed based on the probability amplitude qubit quantum calculation of the ratio of adaptive revolving door rotation angle of the new method, the algorithm has convergence speed and global search capability characteristics. 011 knapsack problem through analysis of a new method related parameters on algorithm performance, and apply the path algorithm to optimize logistics and distribution issues, simulation results show that the quantum evolution algorithm to improve performance is better than the quantum evolution algorithm and traditional evolutionary algorithm. Platform: |
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Author:xq |
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Description: 关于电力系统无功优化方面的论文，该论文使用改进的进化算法并结合动态的突变标准。-With regard to reactive power optimization papers, the papers use the improved evolutionary algorithm combined with dynamic mutation standard. Platform: |
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Author:xiaofang |
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Description: 摘
由于演化算法求解多目标优化问题所得结果是一个优化解集———Pareto最优集,而现有的演化算法收
敛性分析只适合针对单目标优化问题的单个最优解。利用有限马尔科夫链给出了演化算法求解多目标优化问
题的收敛性分析框架,并给出了一个分析实例
-Pick as a result of evolutionary algorithm for solving multi-objective optimization problem the result is an optimized solution set--- Pareto optimal set, and the existing evolutionary algorithm convergence analysis is only suitable for single-objective optimization problem of a single optimal solution. Use of limited Markov chain are given multi-objective evolutionary algorithm for solving optimization problems Convergence analysis framework, and gives an analysis of examples Platform: |
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Author:fujia |
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Description: 量子进化算法论文，详尽介绍该算法的原理及实验结果-Quantum evolutionary algorithm papers, detailed descriptions of the principle of the algorithm and experimental results Platform: |
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Author:向健 |
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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: |
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Author:王潮 |
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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: |
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Author:王潮 |
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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: |
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Author:蒋佳颖 |
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Description: 一种多目标进化算法，进化算法是一种具有鲁棒性的方法，能适应不同的环境不同的问题，而且在大多数情况下都能得到比较满意的有效解。-A multi-objective evolutionary algorithm.Evolutionary algorithm is a robust method, can adapt different environment of different problems, and in most cases can be more satisfied with the efficient solution.
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Author:小洁 |
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Description: 简要阐述了进化算法的基本原理 ,探讨了在 MATLAB 环境中实现遗传算法各算子的编程方法 , 并以一个简单的实例说明所编程序在函数全局寻优中的应用。 -Briefly the basic principles of evolutionary algorithm, to explore the genetic algorithm in MATLAB programming methods for each operator, and a simple example to illustrate the application of programmable function global optimization. Platform: |
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Author:张嘉城 |
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Description: 提出了一种新的组合优化方法即组合优化多智能体进化算法. 该方法将智能体固定在网格上, 而每个智能体为了增加自身能量将与其邻域展开竞争, 同样智能体也可进行自学习来增加能量.-A new method for combinatorial optimization combinatorial optimization ie multi-agent evolutionary algorithm The method body is fixed in the smart grid, and each agent in order to increase their own energy will compete with its neighbors, the same agent can also be from the study to increase energy. Platform: |
Size: 997376 |
Author:Peng LI |
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Search - evolutionary algorithm