Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, SoMMA 2019, Trivandrum, India, December 18-21, 2019, Revised Selected Papers

This collection of revised selected papers showcases the latest advancements presented at the SoMMA 2019 symposium, focusing on machine learning and metaheuristic algorithms. The authors explore innovative applications, particularly within industrial wireless sensor networks, highlighting the development of hybrid duty cycle algorithms that utilize machine learning for enhanced performance.

Readers will find in-depth analyses of various architectures and methodologies, demonstrating how these algorithms can solve complex problems in real-world scenarios. As technology continues to evolve, this compilation serves as a valuable resource for researchers and practitioners aiming to harness the power of machine learning in conjunction with advanced algorithmic techniques.