The field of optimization and sustainability is moving towards a more integrated and interdisciplinary approach, with a focus on developing innovative methods and tools to address complex real-world problems. Recent research has emphasized the importance of digitalization, data-driven approaches, and modular modeling to improve energy efficiency, reduce costs, and promote sustainable development. Noteworthy papers include:

• A study that introduces an open-source dataset for heat pump optimization, providing a valuable resource for researchers and practitioners to develop and test new energy efficiency solutions.
• A review of multi-objective pseudo Boolean functions, which presents new functions with more realistic features and strengthens the connection between theoretical and practical research.
• A theoretical analysis of analogy-based evolutionary transfer optimization, which establishes fundamental theories and demonstrates the effectiveness of analogy-based knowledge transfer methods.