This invention describes a smart computer system that finds the best way to assign resources, like people or vehicles, to tasks or locations. It processes complex information about both the tasks and resources, using a clever problem-solving method to generate an optimal schedule. The system refines this schedule by continuously improving it, potentially using a 'genetic analysis' approach to test and verify better solutions.
Why it matters: The computational demands for generic, multi-layer optimization and genetic analysis were significant in 2001. Modern cloud computing and advanced AI algorithms make such a system more practical and efficient to develop and run today.
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