充裕 发表于 2025-3-21 16:53:50

书目名称Genetic Programming影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0382590<br><br>        <br><br>书目名称Genetic Programming读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0382590<br><br>        <br><br>

GEST 发表于 2025-3-21 22:09:44

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programmingolving programs. It has also been extended to combine formal constraints and user-provided training data to solve symbolic regression problems. Here we show how the ideas underlying CDGP can also be applied using only user-provided training data, without formal specifications. We demonstrate the app

organic-matrix 发表于 2025-3-22 01:10:23

Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtualcompliance of soft materials endows soft robots with complex behavior, but it also makes their design process unintuitive and in need of automated design. Despite the great interest, evolved virtual soft robots lack the complexity, and co-optimization of morphology and control remains a challenging

姑姑在炫耀 发表于 2025-3-22 07:52:36

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荣幸 发表于 2025-3-22 08:58:45

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起波澜 发表于 2025-3-22 13:52:47

DALex: Lexicase-Like Selection via Diverse Aggregationing. In its standard form, lexicase selection filters a population or other collection based on randomly ordered training cases that are considered one at a time. This iterated filtering process can be time-consuming, particularly in settings with large numbers of training cases, including many symb

起波澜 发表于 2025-3-22 20:56:00

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antidote 发表于 2025-3-23 00:18:43

SLIM_GSGP: The Non-bloating Geometric Semantic Genetic Programmingervised learning problems. However, a limitation of GSGP is its tendency to generate offspring larger than their parents, resulting in continually growing program sizes. This leads to the creation of models that are often too complex for human comprehension. This paper presents a novel GSGP variant,

FLIC 发表于 2025-3-23 04:27:13

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points inorithm. While it has achieved great success, a challenging problem in feature construction is the issue of overfitting, which has led to the development of many multi-objective methods to control overfitting. However, for multi-objective methods, a key issue is how to select the final model from the

Tracheotomy 发表于 2025-3-23 09:18:36

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查看完整版本: Titlebook: Genetic Programming; 27th European Confer Mario Giacobini,Bing Xue,Luca Manzoni Conference proceedings 2024 The Editor(s) (if applicable) a