Optinformatics Workshop

Invited Keynote Speakers

Jose A. Lozano

University of the Basque Country (UPV/EHU) and Basque Center for Applied Mathematics (BCAM), Spain

Bernhard Sendhoff

Honda Research Institute Europe GmbH, Offenbach, Germany

1. Aim and Scope

This workshop aims to bring together researchers, practitioners, and industry experts to explore recent advances in optinformatics for evolutionary learning and optimization, an emerging paradigm that integrates data-driven knowledge extraction with evolutionary search processes. While evolutionary algorithms have demonstrated strong global optimization capabilities across diverse domains, they traditionally operate in a problem-independent manner, often neglecting valuable knowledge accumulated from previously solved tasks. Optinformatics addresses this limitation by incorporating techniques from data mining, machine learning, and information processing into the optimization pipeline, enabling more efficient, knowledge-aware, and adaptive search.

The workshop will cover methodological innovations in evolutionary learning, including inter-problem knowledge transfer, data-driven feature engineering, and evolutionary reinforcement learning, as well as their applications in real-world scenarios such as vehicle routing, automated machine learning, and complex system optimization. By bridging optimization theory, data-centric learning, and engineering practice, this workshop aims to provide a platform for exchanging novel ideas, fostering interdisciplinary collaboration, and advancing the development of next-generation intelligent optimization frameworks.

2. Important Dates

3. Paper Submission

• Submission portal: https://cmt3.research.microsoft.com/IEEEMIND2026
• Submission papers must be no longer than 6 pages for long papers and 2 pages for short papers, including all text, figures, and references. The accepted papers will be presented at the conference and included in the proceedings.
• We also welcome the submission of Abstracts (under 300 words) for published papers and ongoing works. The accepted Abstracts will be presented at the conference, but will not be included in the conference proceedings.
• Formatting guidelines and templates are available on:
https://www.ieee.org/conferences/publishing/templates.html
• Supplementary material (e.g., appendices, data, source code, resubmission information) can optionally be submitted by the paper submission deadline.
• Generative AI models, including ChatGPT, LLaMA, DeepSeek, or similar LLMs, do not satisfy the criteria for authorship of papers published in MIND 2026. If authors use LLMs in any part of the paper-writing process, they assume full responsibility for all content, including checking for plagiarism and correctness of the entire submission.
• All submissions will be thoroughly reviewed by experts in the fields.