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ACM SIGEVOlution is a peer-reviewed journal published by ACM, covering Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Artificial Intelligence in Games.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGEVOlution 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGEVOlution style. No sign-up. |
| Publishes research in | Evolutionary Algorithms and Applications Metaheuristic Optimization Algorithms Research Artificial Intelligence in Games Advanced Multi-Objective Optimization Algorithms Scientific Computing and Data Management |
| ISSN | 1931-8499 |
| Citation impact (2-yr) | 0.22 |
| h-index | 14 |
| i10-index | 18 |
| Total citations | 900 |
| Top institutions publishing here | University of Stirling |
| Journal website | www.sigevolution.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In 1994, Karl Sims' evolved virtual creatures showed the potential of evolutionary algorithms to produce natural, complex morphologies and behaviors [30]. One might assume that nearly 20 years of improvements in computational speed and evolutionary algorithms would produce far more impressive organisms, yet the creatures evolved in the field of artificial life today are not…
Pyevolve is an open-source framework for genetic algorithms. The initial long-term goal of the project was to create a complete and multi-platform framework for genetic algorithms in pure Python. However, the most recent developmental versions currently support also Genetic Programming (GP)[3]; accordingly, Pyevolve now aims at becoming a pure Python framework for evolutionary algorithms.
This paper introduces an algorithm for evolving 3D objects with a generative encoding that abstracts how biological morphologies are produced. Evolving interesting 3D objects is useful in many disciplines, including artistic design (e.g. sculpture), engineering (e.g. robotics, architecture, or product design), and biology (e.g. for investigating morphological evolution). A critical element in evolving 3D objects…
We are delighted to announce the release of GEVA [1], an open source software implementation of Grammatical Evolution (GE) in Java. Grammatical Evolution in Java (GEVA) was developed at UCD's Natural Computing Research & Applications group (http://ncra.ucd.ie).
Nevergrad is an open source platform for black-box optimization. Join the user group! And if you like Nevergrad, please support us by adding a star on GitHub (https://github.com/facebookresearch/nevergrad).
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