DUMMY 发表于 2025-3-21 20:02:40
书目名称Genetic Programming影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0382592<br><br> <br><br>书目名称Genetic Programming读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0382592<br><br> <br><br>宴会 发表于 2025-3-21 23:22:15
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0302-9743 Overview: Includes supplementary material: 978-3-540-21346-8978-3-540-24650-3Series ISSN 0302-9743 Series E-ISSN 1611-3349neutrophils 发表于 2025-3-22 05:22:24
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Juan J. Cuadrado-Gallego,Yuri Demchenkobench. We find that, in this context, there seems to be a correlation between successful evolutionary algorithms and the existence of good deterministic algorithms. We also trace the convergence of co-evolution of the population of fitness functions to a deterministic solution.Carcinoma 发表于 2025-3-22 16:26:46
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Qixin Chen,Hongye Guo,Kedi Zheng,Yi Wangect of representation and separate out the effects of different search space sizes and search algorithms. Experimental results are given, comparing the performance and search behavior of Tree Adjoining Grammar Guided Genetic Programming (TAG3P) and Standard Genetic Programming (GP) on some standard problems.Presbycusis 发表于 2025-3-22 22:08:56
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Coevolution of Algorithms and Deterministic Solution of Equations in Free Groupsbench. We find that, in this context, there seems to be a correlation between successful evolutionary algorithms and the existence of good deterministic algorithms. We also trace the convergence of co-evolution of the population of fitness functions to a deterministic solution.