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In recent decades, the diversification of automated learning applications has led to new requirements inherent in the availability of large-scale data. Given the new scientific and technological challenges that are encountered, mathematical optimization has been established as the right approach for many machine learning problems. The specific requirements of machine learning raise new challenges for optimization. In turn, optimization takes advantage of machine learning insofar as concepts, formalisms, approximations and algorithms are revisited.

The International Conference on Learning and Optimization Algorithms: Theory and Applications (LOPAL'2018), which is to be held on 2 - 5 May 2018 at ENSIAS, Mohammed V University in Rabat, Morocco, bridges the gap between the these two areas of knowledge. LOPAL'2018 will be a relevant opportunity for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns together with the theoretical and practical challenges encountered these areas and their applications.

LOPAL'2018 welcomes original papers on all research areas related to the theoretical aspects of Machine Learning, Optimization, their interfaces, and the application of their algorithms in various domains.

All accepted Papers (regular, short and poster) will be published by ACM - International Conference Proceedings Series (ICPS) and will be available in the ACM Digital Library. The ISBN number assigned by ACM ICPS to LOPAL'2018 is 978-1-4503-5304-5.  

Extended versions of high quality  papers presented at the Conference will be subjected to a 2nd evaluation for their publication in the Progress in Artificial Intelligence journal. 

A Special Issue on: “Advances and Applications in Optimization and Learning Algorithms” will be published in the International Journal of Data Analysis Techniques and Strategies