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Genetic Programming and Evolvable Machines

Genetic Programming and Evolvable Machines

GENET PROGRAM EVOL M
影响因子：0.9
是否综述期刊：否
是否预警：不在预警名单内
是否OA：否
出版国家/地区：UNITED STATES
出版社：Springer US
发刊时间：2000
发刊频率：Quarterly
收录数据库：SCIE/Scopus收录
ISSN：1389-2576

期刊介绍

A unique source reporting on methods for artificial evolution of programs and machines...Reports innovative and significant progress in automatic evolution of software and hardware.Features both theoretical and application papers.Covers hardware implementations, artificial life, molecular computing and emergent computation techniques.Examines such related topics as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.
一个独特的来源报告的方法，人工进化的程序和机器...报告软件和硬件自动进化的创新和重大进展。特色理论和应用论文。涵盖硬件实现，人工生命，分子计算和紧急计算技术。检查这样的相关主题与可变大小基因组的进化算法，程序归纳的替代方法，基于胚胎学的工程系统开发方法，形态发生学或其他受适应性自然系统启发的技术。
年发文量 19
国人发稿量 0
国人发文占比 0%
自引率 -
平均录取率0
平均审稿周期 >12周，或约稿
版面费 US$2890
偏重研究方向 工程技术-计算机：理论方法
期刊官网 https://www.springer.com/10710
投稿链接 https://www.editorialmanager.com/genp

期刊高被引文献

Inspyred: Bio-inspired algorithms in Python
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09367-z
A novel multi-swarm particle swarm optimization for feature selection
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09358-0
A survey of evolutionary algorithms using metameric representations
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09356-2
Cartesian genetic programming: its status and future
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09360-6
Parameter identification for symbolic regression using nonlinear least squares
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09371-3
Transfer learning in constructive induction with Genetic Programming
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09368-y
Evolving autoencoding structures through genetic programming
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09354-4
Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09350-8
A journey among Java neutral program variants
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09355-3
Local search in speciation-based bloat control for genetic programming
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09351-7
Genetic programming for natural language processing
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09361-5
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09352-6
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09363-3
Vector quantization using the improved differential evolution algorithm for image compression
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09342-8
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09343-7
Genetic programming theory and practice: a fifteen-year trajectory
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09353-5
Genetic programming and evolvable machines at 20
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09344-6
A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09357-1
Applications of genetic programming to finance and economics: past, present, future
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09359-z
GPML: an XML-based standard for the interchange of genetic programming trees
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09370-4
The impact of genetic programming in education
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09362-4
Software review: the GPTIPS platform
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09366-0
Evolutionary design model of passive filter circuit for practical application
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09369-x
Unimodal optimization using a genetic-programming-based method with periodic boundary conditions
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09373-1
Editorial introduction
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09348-2
Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence
来源期刊：Genetic Programming and Evolvable MachinesDOI：10.1007/s10710-019-09365-1

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00%48.98%--

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

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时间 预警情况
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源：中科院《 国际期刊预警名单》

JCR分区

WOS分区等级：Q4区
版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方（Web of Science）为每个学科内的期刊按照IF数值排 序，将期刊按照四等分的方法划分的Q1-Q4等级，Q1代表质量最高，即常说的1区期刊。
（2024-2025年最新版）
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q4

中科院分区

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版本 大类学科 小类学科 Top期刊 综述期刊
2025年3月最新升级版
计算机科学4区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
4区
COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法
4区
否
否
2023年12月升级版
计算机科学3区
COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
4区
否
否
2022年12月旧的升级版
计算机科学3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
3区
COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法
3区
否
否