Abstract: Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most existing ...
Abstract: Many practical multi-objective optimization problems require obtaining robust Pareto solutions to perturbations in decision variables. While some efforts have been made to develop ...
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" ...
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