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...

AI-driven systems are rapidly moving from decision support to directing human behavior through rules, recommendations, and compliance requests. This shift expands everyday human-AI interaction and raises the possibility that AI may function as an authority figure. However, the behavioral...

AI-driven systems are rapidly moving from decision support to directing human behavior through rules, recommendations, and compliance requests. This shift expands everyday human-AI interaction and raises the possibility that AI may function as an authority figure. However, the behavioral...

We develop a model of social interaction in which agents hold private beliefs but communicate public statements. We distinguish between two networks: an audience network shaping statements through social pressure, and an influence network governing belief updating. This separation drives a wedge...

We propose and test two variations of the Adaptive Large Neighborhood Search (ALNS) meta-heuristic: First, we add time sensitivity to the operator selection scheme to optimize the ALNS for both solution quality and runtime. We reward comparatively slow operators with reduced rewards for finding...

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...

Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for managing the disease and selecting therapies to slow its progression. Machine learning (ML) has demonstrated significant potential in improving its diagnostic accuracy with structural Magnetic Resonance Imaging (sMRI) data....