The increasing urgency of carbon footprint reduction in supply chain operations demands innovative optimization approaches that balance economic efficiency with environmental sustainability. This paper presents a novel carbon-aware route optimization framework that integrates machine...

We study school switches in which students who have already been assigned seats request reassignment. Unlike in regular school choice, stability need not be legally binding in such programs, since students' priority-based claims have already been satisfied upstream. Efficiency then naturally...

This study develops and evaluates an equity selection pipeline that converts quarterly fundamentals into a monthly frequency, constructs profitability, leverage, liquidity, and growth characteristics, and learns a linear ranking model via a genetic algorithm (GA). The GA is trained to maximize...