ACM GECCO 2020 Workshop “Green AI: Evolutionary and machine learning solutions in environment, renewable and ecologically-aware scenarios”

There is a growing global interest in moving towards a digital transformation of the economy. This transformation is certainly needed but it should also take into account the ecological impact and viability. It is then the moment to focus on topics like these.

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The objective of this workshop is to serve as a convergence hub for researchers and academics working on the application of evolutionary computing and machine learning to both the area of energy generation, production, and transformation with an ecologically-minded approach and the construction of eco-aware machine learning models and algorithms.


The workshop will take place on July, 8th, 2020. All times are in the México time zone (UTC-5).

  • 8:30-8:35 — Welcome and introduction —
  • 8:35-8:50 Mariza Ferro (Laboratório Nacional de Computação Científica, Brazil). The Convergence of Artificial Intelligence and High-Performance Computing Towards Green AI Solutions [slides]
    Abstract: The convergence of High-Performance Computing (HPC) and Artificial Intelligence (AI) has become a promising approach to eco-responsible solutions. In this interaction the HPC can be used by AI (HPC for AI) to execute and enhance the performance of its algorithms, achieving surprising results. These results are due, at large, to the use of high computational capacity offered by HPC environments, which at the same time require a lot of energy to keep them running. Energy consumption is responsible for greenhouse gas emissions, among which CO2 is the most expressive. On the other side (IA for HPC), AI and its Machine Learning (ML) algorithms can be used to develop solutions for datacenter energy and performance optimization. In this presentation will be discussed the impact of training different ML algorithms on energy consumption and equivalent CO2 emissions for different computational architectures (ARM, GPU, and X86) is evaluated. Also, how AI is being used to the prediction of performance and energy consumption for eco-responsible solutions.
  • 8:50-9:05 Priya L. Donti (Carnegie Mellon University, U.S.A.) and David Rolnick (University of Pennsylvania, U.S.A.). Tackling Climate Change with Machine Learning [slides]
    Abstract: Climate change is one of the greatest challenges facing humanity, and those of us in machine learning may wonder how we can help. In this talk, we will see how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we explore high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields.
  • 9:05-9:20 Esteban Clua (Universidade Federal Fluminense, Brazil). Why GPUs are Green? [slides]
  • 9:20-9:35 Romain Rouvoy (Université de Lille and Inria Lille, France). AI for Green Computing vs. Greening AI [slides]
    Abstract: As part of our research activities, the Inria Spirals research group focuses on the design of more sustainable software solutions for various classes of distributed environments. This talk will, therefore, cover our recent contributions to i) the development of a software-defined power meter to monitor the power consumption of software and algorithms in order to ii) study of the energy footprint of AI algorithms with the objective of identifying green patterns for a more responsible adoption of AI in software solutions.
  • 9:35-9:50 Nayat Sánchez-Pi and Luis Martí (Inria Research Center in Chile, Chile). Towards a Green AI: Addressing the ecological footprint of machine learning [slides]
  • 9:50-10:20 — Open discussion, questions, and final remarks —
Green AI family photo

Green AI family photo

Call for Papers

Download here the Call for Papers for Green AI at GECCO 2020 (PDF).


The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999.

GECCO’2020 will take place at Hotel Iberostar Cancún  Blkd. Kukulkan Km. 17  Zona Hotelera  Cancún, Quintana Roo, MÉXICO 77500.

Update: Because of the COVID-19 outbreak the Green AI workshop, like the rest of the GECCO 2020 Conference, will be hosted on a remote electronic-only mode. See GECCO 2020 announcement regarding this.


Applications papers, like those related -but not limited- to:

  • evolutionary and optimization methods for ecology-aware and energy-aware artificial intelligence methods,
  • understanding and minimization of the ecological impact of computing,
  • renewables, wind, wave, and tidal energy production,
  • oil, gas or coal transition and hybrid energy models,
  • predictive maintenance, and
  • logistics and supply chain optimization.

Relevant methods and techniques like:

  • multi-component optimization,
  • simulation-optimization,
  • energy-aware AutoML approaches,
  • transfer learning and domain adaptation,
  • probabilistic modeling with large real-world datasets, and
  • prediction, classification, and clustering with large real-world datasets.

Important Dates

Dates have been updated as follows. Note that these dates are strict, no extensions will be granted:

  • submission opening: February 27, 2020,
  • submission deadline: April 3, 2020 April 17, 2020
  • notification of acceptance: April 17, 2020 May 1, 2020,
  • camera-ready material submission: April 24, 2020 May 8, 2020,
  • author registration deadline: April 27, 2020 May 11, 2020, and
  • GECCO conference: July 8-12, 2020.

Paper Submission

Workshop papers must be submitted using the GECCO submission site. After login, the authors need to select the “Workshop Paper” submission form. In the form, the authors must select the workshop they are submitting to. To see a sample of the “Workshop Paper” submission form go to GECCO’s submission site and chose “Sample Submission Forms”.

Submitted papers must not exceed 8 pages (excluding references) and are required to be in compliance with the GECCO 2020 Papers Submission Instructions. It is recommended to use the same templates as the papers submitted to the main tracks. It is not required to remove the author information if the workshop the paper is submitted to does not have a double-blind review process (please, check the workshop description or the workshop organizers on this).

All accepted papers will be presented at the corresponding workshop and appear in the GECCO Conference Companion Proceedings. By submitting a paper, the author(s) agree that, if their paper is accepted, they will:

  • Submit a final, revised, camera-ready version to the publisher on or before the camera-ready deadline
  • Register at least one author before April 27, 2020, to attend the conference
  • Attend the conference (at least one author)
  • Present the accepted paper at the conference

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