A mixed geneticalgorithm and simulatedannealing (GASA) algorithm is used for the placement of symmetrical *** proposed algorithm includes 2 stage *** the first stage process it optimizes placement solutions globally...
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A mixed geneticalgorithm and simulatedannealing (GASA) algorithm is used for the placement of symmetrical *** proposed algorithm includes 2 stage *** the first stage process it optimizes placement solutions globally using *** the second stage process it locally improves *** overcomes the slow convergence of geneticalgorithm in the late phase of the process of genetic *** results show that GASA consumes less CPU time than GA and could achieve performance as good as versatile placement and routing tool in terms of placement cost.
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