Taskerlppsa

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Abstract Taskerlppsa presents a novel approach to [problem domain — assumed: task allocation / scheduling / planning]. We introduce a method combining TaskerL (a lightweight task representation), LP-based planning (linear programming for global coordination), and PSA (priority-based scheduling with adaptive adjustments). Experiments on synthetic and real-world benchmarks show improved throughput, lower latency, and better resource utilization compared with baseline heuristics. Key contributions: (1) formalization of taskerlppsa model; (2) an efficient solver integrating LP relaxation with online priority adjustments; (3) empirical evaluation demonstrating consistent gains. taskerlppsa