Manuscript Topics

Continuous optimization, combined with machine learning, is rapidly transforming industries, operations research, and management by offering innovative solutions to complex, large-scale problems. While continuous optimization remains fundamental to resource allocation, cost reduction, and system efficiency, machine learning provides powerful tools for data-driven decision-making, pattern recognition, and predictive modeling. This special issue aims to explore the intersection of these two fields, highlighting how the integration of optimization techniques with machine learning algorithms can enhance performance and foster new capabilities across various sectors. We invite contributions that showcase novel applications, methodologies, and case studies demonstrating the synergy between continuous optimization and machine learning in areas such as industrial process optimization, supply chain management, predictive analytics, and strategic decision-making in management.

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