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《Evolutionary Algorithms for Solving Multi-Objective Problems》这是一本有关多目标进化的非常值得一看的书,里面有测试标准,测试函数等内容-The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evoluti
Date : 2025-12-28 Size : 11.71mb User :

基于进化深度学习的特征提取算法,应该算比较有用的文章了,有兴趣可以看看。-Extraction based on evolutionary characteristics of deep learning algorithms, it should be considered more useful articles, are interested can look at.
Date : 2025-12-28 Size : 1.63mb User : 张雾琳
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