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Genetic Programming and Evolvable Machines

Springer 非OA 2026新锐 4区2025中科院 4区 已自动采集 最新完整样本 10 篇 平均 202.1 天

数据更新 2026-07-15 · 完整周期 10 篇 · 日期来源可逐条复核

Genetic Programming and Evolvable Machines已收录10篇完整论文周期样本,平均审稿202.1 天,中位审稿186 天。2025中科院4区,非OA,2025发文量24。页面含论文收到日期、录用日期、PDF、DOI和出版社网页溯源入口。

202.1平均天数
186中位天数
66最短天数
399最长天数
10最新论文
242025发文量

Latest Papers

最新发表论文审稿周期

审稿天数=录用日期-收到日期;保留 PDF/DOI/网页源链接

210

Dynamically attributed grammatical evolution: function-based attribute grammars for flexible and context-aware mapping

作者Dhiraj Kumar Singh; Rajkumar Sarma; Allan de Lima; Conor Ryan

作者单位1. Biocomputing and Development Systems (BDS) Group, Computer Science and Information Systems (CSIS), University of Limerick, Limerick, Ireland; 2. Department of Electrical and Electronic Engineering, School of Engineering, University of Galway, Galway, Ireland

PDF源文件 DOI 网页
162

Solving ordinary differential equations with genetic programming with hard initial/boundary value constraints

作者Peter Rockett

作者单位1. School of Electrical and Electronic Engineering, University of Sheffield, Sheffield, UK

PDF源文件 DOI 网页
249

Exploring grammar-guided design and evolution of polyominoes with modular soft robots

作者Jessica Mégane; Eric Medvet; Nuno Lourenço; Penousal Machado

作者单位1. CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal; 2. Department of Engineering and Architecture, University of Trieste, Trieste, Italy

PDF源文件 DOI 网页
329

SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover

作者Leonardo Vanneschi; Sofia Pereira; Davide Farinati

作者单位1. NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal

PDF源文件 DOI 网页
117

Towards online genetic programming approach to dynamic flexible job shop scheduling

作者Su Nguyen; Binh Tran; Xuan Nam Ngo; Duy Thinh Tran

作者单位1. School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, Australia; 2. Business School, La Trobe University, Melbourne, Australia; 3. Faculty of Science, The University of Melbourne, Melbourne, Australia

PDF源文件 DOI 网页
88

An enhanced genetic programming algorithm with new genetic operators for medical image classification

作者Lin Dong; Ying Bi; Bing Xue; Mengjie Zhang

作者单位1. Center for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand; 2. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China

PDF源文件 DOI 网页
66

Analyzing the impact of space in evolving spatially represented genetic programming models

作者Iliya Miralavy; Wolfgang Banzhaf

作者单位1. Department of Computer Science and Engineering, Michigan State University, East Lansing, USA; 2. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, USA

PDF源文件 DOI 网页
128

Discovering continuous-time memory-based symbolic policies using genetic programming

作者Sigur de Vries; Sander Keemink; Marcel van Gerven

作者单位1. Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands

PDF源文件 DOI 网页
273

GELS-SVR: a combination of grammatical evolution and least squares support vector regression for symbolic solution to Falkner-Skan equation

作者Hassan Dana Mazraeh; Kourosh Parand

作者单位1. School of Mathematics and Computer Sciences, Damghan University, Damghan, Iran; 2. Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran; 3. Department of Cognitive Modeling, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran

PDF源文件 DOI 网页
399

A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation

作者Darius Scheepers; Nelishia Pillay

作者单位1. Department of Computer Science, University of Pretoria, Pretoria, South Africa

PDF源文件 DOI 网页