verified SJR 0,394 · Q3 • database Scopus / SJR & Web of Science indexed

Genetic Programming and Evolvable Machines

United States · Springer New York

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Genetic Programming and Evolvable Machines

Methods for artificial evolution of active components are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution. Genetic Programming and E...

ISSN: 1389-2576

Publisher: Springer New York

Category: Software

Indexation: verifiedScopus / SJR verifiedWeb of Science

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schedule CountryOfPapers database fields

SJR Impact Factor trending_up

0,394 Q3

H-index 45

Acceptance rate pie_chart

32%

Source Acceptance_Rate

Time to publication hourglass_top

NPD

Field NPD

Publication cost (APC) payments

2.290 € Open Access

Non-OA path 0 €

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,394

H-index

Docs (year)

Docs 3y

Total refs

942

Cites 3y

124

Citable 3y

Cites/Doc 2y

0.94

Ref/Doc

44.86

Immediate OA

2290 €

Embargoed OA

NPD

Non OA / Submission

0 €

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Best articles by citations

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification

Evolutionary model building under streaming data for classification tasks: opportunities and challenges

Evolutionary morphogenesis for multi-cellular systems

Evolving recursive programs by using adaptive grammar based genetic programming

Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover

Genetic Programming for Mining DNA Chip Data from Cancer Patients

GP-Sumo: Using genetic programming to evolve sumobots

Incorporating characteristics of human creativity into an evolutionary art algorithm

Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems

Introducing lateral thinking in search engines

Introduction

Evolutionary Algorithms and Theirs Use in the Design of Sequential Logic Circuits

SHOW MORE ARTICLES

On evolvability and robustness in the matrix-GRT model

On Growth, Form and Computers

Particle Swarm Optimisation for Protein Motif Discovery

Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages

Resource Review: Three Open Source Systems for Evolving Programs-Lilgp, ECJ and Grammatical Evolution

Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming

Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms

Shortcomings with using edge encodings to represent graph structures

Solution of matrix Riccati differential equation for nonlinear singular system using genetic programming

Tracer spectrum: a visualisation method for distributed evolutionary computation

Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms

A learning automata-based memetic algorithm

FAQs

Genetic Programming and Evolvable Machines has an SJR of 0,394 (best quartile Q3) in the CountryOfPapers database.

Immediate OA APC is 2290 EUR. Non-OA / submission fee is 0 EUR.

The acceptance rate recorded for Genetic Programming and Evolvable Machines is 32%.

Genetic Programming and Evolvable Machines

Metrics

Name good journals. Call out predatory ones.

Researcher reviews

Best articles by citations

FAQs

What is the SJR of Genetic Programming and Evolvable Machines?

What is the APC / publication cost?

What is the acceptance rate?