Conceptual

Multi-Objective Scheduling of Satellite In-Orbit Testing Campaigns

How to automatically build near-optimal schedules for the in-orbit testing of satellites, an operational-acceptance-testing activity constrained by antenna visibility windows, configuration and usage costs, and timing. The problem is cast as a constrained multi-objective search that trades off operational cost, test fragmentation, and resource usage, and solved with an evolutionary algorithm to yield a Pareto front of schedules practitioners can choose from.