Parallel Problem Solving from Nature

Übersicht

The International Conference on Parallel Problem Solving From Nature (PPSN) is a biannual open forum fostering the study of natural models, iterative optimization heuristics, machine learning, and other artificial intelligence approaches. PPSN was originally designed to bring together researchers and practitioners in the field of Natural Computing, the study of computing approaches that are gleaned from natural models. Today, the conference series has evolved and welcomes works on all types of iterative optimization heuristics. Notably, we also welcome submissions on connections between search heuristics and machine learning or other artificial intelligence approaches. Submissions covering the entire spectrum of work, ranging from rigorously derived mathematical results to carefully crafted empirical studies, are invited. Paper Presentation and Publishing Following PPSN's unique tradition, all accepted papers will be presented during the poster sessions and will be included in the proceedings. For this purpose, please prepare a poster in DIN A0 portrait format once your full paper has been accepted. The proceedings will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. Papers must be submitted as PDF files in Springer LNCS style through the conference submission portal. The page limit is 14 pages, excluding references. Authors' names need not be hidden for the (single blind) reviewing process. Springer's instructions for authors of proceedings in computer science (which includes LNCS) are available here. Springer's proceedings LaTeX templates are available on Overleaf. If authors wish to include supplementary material, we suggest they host a separate document online (e.g., Zenodo) and cite it appropriately within the paper. We draw the attention of contributing authors to Springer's Code of Conduct and AI Authorship Policy.

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