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结合离散时间系统最优控制问题,提出一种新的混合算法.该算法是在遗传操作中嵌入模
拟退火算子,有效地结合了遗传算法隐含并行与模拟退火算法全局寻优的特点
-By embedding simulated annealing operator into genetic algorithm, a hybrid algorithm is put forward,
which assimilates advantages ofboth genetic algorithm and simulated
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将适合全局搜索的遗传算法(GA)和适合局部搜索的模拟退火算法(SA)相结合-Hybrid Genetic Algorithm and Simulated Annealing
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多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p
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解非线性优化问题的混合加速遗传算法，给出了
HAGA 算法实施的详细步骤, 建立了HAGA 相应的收敛定理-SOLVING NONLINEAR OPTIMAL PROBLEMS BY
HYBRID ACCELERATING GENETIC ALGORITHM
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his file ddescribe the hybrid fractal image compression and genetic algorithm
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Novel hybrid genetic algorithm & particle swarm opitimization
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针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一
种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代
后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法
收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
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用混合遗传算法求解物流配送路径优化问题的研究-Hybrid Genetic Algorithm logistics path optimization problem
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基于混合遗传算法的多资源受限离散时间 花费研究-Hybrid genetic algorithm-based multi-resources-constrained discrete time spent
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使用遗传算法和粒子群算法共同解决混合车间作业调度问题的文章-The use of genetic algorithm and particle swarm algorithm to solve the articles of the Hybrid Job Shop Scheduling Problem
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基于差分进化算法和遗传算法的混合优化算法及其在阵列天线方向图综合中的应用-Based on differential evolution algorithm and genetic algorithm hybrid optimization algorithm and its application in the array antenna pattern synthesis of
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基于遗传算法和内点法的无功优化混合策略-Hybrid strategy based on genetic algorithm optimization and interior point method reactive
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基于目标函数变化率的混合蚁群遗传算法-Hybrid ant colony based on the rate of change of the objective function of genetic algorithm
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混合遗传算法在最优Lambert轨道转移设计中的应用-Hybrid genetic algorithm in optimal design of the orbital transfer Lambert
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总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看-Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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This Matlab code is combine of Particle Swarm Optimazation (PSO) with Genetic Algorithm
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Solving reliability and redundancy allocation problems via meta-heuristic algorithms has attracted
increasing attention in recent years. In this study, a recently developed meta-heuristic optimization algorithm
cuckoo search (CS) is hybridized wi
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