In the last years, inspired by the fact that natural brains themselves are the products of an evolutionary process, the quest for evolving and optimizing artificial neural networks through evolutionary computation has enabled researchers to successfully apply neuroevolution to many domains such as strategy games, robotics, big data, and so on. The reason behind this success lies in important capabilities that are typically unavailable to traditional approaches, including evolving neural network building blocks, hyperparameters, architectures and even the algorithms for learning themselves (meta-learning).
Although promising, the use of neuroevolution poses important problems and challenges for its future developments. Firstly, many of its paradigms suffer from lack of parameter-space diversity, meaning with this a failure in providing diversity in the behaviors generated by the different networks. Moreover, the harnessing of neuroevolution to optimize deep neural networks requires noticeable computational power and, consequently, the investigation of new trends in enhancing the computational performance.
NEWK@Work workshop aims:
- to bring together researchers working in the fields of deep learning, evolutionary computation and optimization to exchange new ideas about potential directions for future research;
- to create a forum of excellence on neuroevolution that will help interested researchers from a variety of different areas, ranging from computer scientists and engineers on the one hand to application-devoted researchers on the other hand, to gain a high-level view about the current state of the art.
Since an increasing trend to neuroevolution in the next years seems likely to be observed, not only will a workshop on this topic be of immediate relevance to get an insight in future trends, it will also provide a common ground to encourage novel paradigms and applications. Therefore, researchers putting emphasis on neuroevolution issues in their work are encouraged to submit their work. This event is also the ideal place for informal contacts, exchanges of ideas and discussions with fellow researchers.
Ivanoe De Falco
Antonio Della Cioppa
University of Salerno, ITALY
The scope of the workshop is to receive high-quality contributions on topics related to neuroevolution, ranging from theoretical works to innovative applications in the context of (but not limited to):
Submission opening: February 27, 2020
Paper Submission deadline: April 3, 2020 April 17, 2020
Notification of paper acceptance: April 17, 2020 May 1, 2020
Camera ready submission: April 24, 2030 May 8, 2020
Author registration deadline: April 27, 2020
Conference dates: July 8th-12th, 2020
General information on GECCO workshops can be found at
Authors must submit their papers using the GECCO submission site at https://ssl.linklings.net/conferences/gecco on or before March 27th, 2018. Submissions should adhere to the ACM SIG guidelines as GECCO’s full papers: Papers Submission Instructions, and not exceed 8 pages in length.
Each paper submitted will be rigorously evaluated in a double-blind review process. The evaluation will ensure high interest and expertise of the reviewers. Review criteria include significance of the work, technical soundness, novelty, clarity, writing quality, and sufficiency of information to permit replication, if applicable. All accepted papers will be published in the ACM Digital Library.
Aaron Chen, Victoria University of Wellington, New Zealand
Qi Chen, Victoria University of Wellington, New Zealand
Rang Cheng, Southern University of Science and Technology, China
Anders Lyhne Christensen, University of Southern Denmark, Denmark
Marc Ebner, Universität Greifswald, Germany
Steffen Finck, FH Vorarlberg University of Applied Sciences, Austria
Yaochu Jin, University of Surrey, UK
Colin Johnson, University of Kent, UK
Mathias Pacher, Goethe Universität Frankfurt am Main, Germany
Chao Qian, University of Science and Technology of China, China
Christoph Schommer, University Luxemburg, Luxemburg
Thomas Stibor, GSI Helmholtz Centre for Heavy Ion Research
Sule Yildirim-Yayilgan, Norwegian University of Science and Technology, Norway
Kelvin Shiu Yin Yuen, City University of Hong Kong, China
Harith Al-Sahaf, Victoria University of Wellington, New Zealand
Ying Bi, Victoria University of Wellington, New Zealand
Faustino Gomez, NNAISENSE, Switzerland
Min Jiang, Xiamen University, China