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Genetic Programming and Evolvable Machines最新文献

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Severe damage recovery in evolving soft robots through differentiable programming 基于可微编程的进化软体机器人严重损伤恢复
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-06-12 DOI: 10.1007/s10710-022-09433-z
Kazuya Horibe, Kathryn Walker, Rasmus Berg Palm, Shyam Sudhakaran, S. Risi
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引用次数: 3
Evolutionary approximation and neural architecture search 进化逼近与神经结构搜索
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-06-11 DOI: 10.1007/s10710-022-09441-z
Michal Pinos, Vojtěch Mrázek, L. Sekanina
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引用次数: 4
A grammar-based GP approach applied to the design of deep neural networks 基于语法的GP方法在深度神经网络设计中的应用
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-06-02 DOI: 10.1007/s10710-022-09432-0
Ricardo H. R. Lima, Dimmy Magalhães, A. Pozo, A. Mendiburu, R. Santana
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引用次数: 3
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite 将遗传规划应用于PSB2:下一代程序综合基准套件
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-06-01 DOI: 10.1007/s10710-022-09434-y
Thomas Helmuth, Peter Kelly
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引用次数: 10
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set 符号回归中的可解释性：使用Feynman数据集的解释方法的基准
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-05-30 DOI: 10.1007/s10710-022-09435-x
Guilherme Seidyo Imai Aldeia, F. O. de França
{"title":"Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set","authors":"Guilherme Seidyo Imai Aldeia, F. O. de França","doi":"10.1007/s10710-022-09435-x","DOIUrl":"https://doi.org/10.1007/s10710-022-09435-x","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"23 1","pages":"309 - 349"},"PeriodicalIF":2.6,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47658319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics 研究了搜索算法与评分指标结合的贝叶斯优化算法的性能
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-04-09 DOI: 10.1007/s10710-022-09430-2
C. Nametala, W. Faria, B. P. Pereira Júnior
{"title":"On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics","authors":"C. Nametala, W. Faria, B. P. Pereira Júnior","doi":"10.1007/s10710-022-09430-2","DOIUrl":"https://doi.org/10.1007/s10710-022-09430-2","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"23 1","pages":"193 - 223"},"PeriodicalIF":2.6,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48997623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Editorial introduction 编辑介绍
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-04-01 DOI: 10.1007/s10710-017-9297-9
L. Spector
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引用次数: 1
Editorial introduction 编辑介绍
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-03-01 DOI: 10.1007/s10710-022-09428-w
Lee Spector
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引用次数: 0
GP-DMD: a genetic programming variant with dynamic management of diversity GP-DMD:具有动态多样性管理的遗传规划变体
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-01-21 DOI: 10.1007/s10710-021-09426-4
R. Nieto-Fuentes, C. Segura
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引用次数: 0
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation 使用罗塞塔原子表示进化的细胞自动机方案用于蛋白质折叠建模
IF 2.6 3区 计算机科学
Genetic Programming and Evolvable Machines Pub Date : 2022-01-16 DOI: 10.1007/s10710-022-09427-x
Daniel Varela, José Santos
{"title":"Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation","authors":"Daniel Varela, José Santos","doi":"10.1007/s10710-022-09427-x","DOIUrl":"https://doi.org/10.1007/s10710-022-09427-x","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"23 1","pages":"225 - 252"},"PeriodicalIF":2.6,"publicationDate":"2022-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52297916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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