Particle Swarm Optimization for ILP Model Based Scheduling

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Provided by: International Journal of Advanced Research in Computer Engineering & Technology
Topic: Networking
Format: PDF
In this paper, the authors focus on the optimal solution to the time constraint scheduling problem with the Integer Linear Programming (ILP) modeling for synthesis using particle swarm optimization; an efficient population based search technique. Discrete real space has explored with continuous domain exploration in restricted range and exploitation using nearest discrete value to get convergence faster. The performance of ILP modeling is presented on HLS benchmark and experimental results obtained are promising for NP complete scheduling problem.
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