Yang, M, Almaini, A E A, Wang, Lun Yao and Wang, P (2005) FPGA placement using genetic algorithm with simulated annealing. ASICON 2005: Proceedings of the 6th International Conference on ASIC, 2005, 2. pp. 808-811. ISSN 0 7803 9210 8Full text not available from this repository. (Request a copy)
A mixed Genetic Algorithm and Simulated Annealing (GASA) algorithm is used for the placement of symmetrical FPGA. The prpoposed algortithm includes 2 stage processes. In the first stage process it optimizes placement solutions globally using GA. In the second stage process it locally improves solution. GASA overcomes the slow convergence in the later phases of processing by a genetic algorithm. The results show that GASA consumes less CPU time than GA and could achieve performances as good as versatile placement and routing tools in terms of placement cost.
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