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利用遗传算法优化人工神经网络权值论文.
遗传算法（Genetic Algorithm－GA）是一种基于自然选择和基因遗传学原理的优化搜索方法。
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基于PSO及遗传算法的改进，用于并行性方面的研究-PSO and Genetic Algorithm for the parallelism
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文章简要的介绍了遗传算法的原理，适合初学者来学习-The paper introduces the principle of genetic algorithm, suitable for beginners to learn
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We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity
function. A Genetic Algorithm is used to stochastically select, relative to the clarity function, the optimum block from amo
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Its an IEEE paper on Optimization of Electric Distribution System of
Large Offshore Wind Farm with Improved
Genetic Algorithm.
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In this paper we show, by means of an example of its application to the problem of house price
forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT),
a non-linear analysis algorithm that is describ
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Genetic Algorithm for various optimizaton issues
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A combination of genetic algorithm and particle swarm optimization for optimal
DG location and sizing in distribution systems
Distributed generation (DG) sources are becoming more prominent in distribution systems due to the
incremental dema
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