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Simulated Evolution algorithm is versatile, efficient but very much time consuming. This paper shows that the reduction of trials in the allocation phase leads to the improvement of the performances of Simulated Evolution algorithm. In its application to the cell placement problem of VLSI chip, 90% reduction of the solution space in the allocation phase accelerates the total processing time, 4.6 ~...
To unlock the full potential of evolution in digital media, we have developed a 2D artificial life system using network-type assembly language and investigated the evolvability of the developed system by computer experiments. In this paper, the structure and features of the developed system are addressed and especially the effects of drastic change of environment by introducing costs of instructions...
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