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Particle Swarm Optimization Based Circuit Synthesis of Reversible Logic

机译:基于粒子群算法的可逆逻辑电路综合

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During the past few decades, power dissipation has become a major concern in electronic industry, and various techniques have evolved for the reduction of power. Reversible circuits can be of great importance in this context and hence have become an active research area for various applications. There exists many techniques in literature which attempts to synthesize a reversible circuit from a given specification. In this paper we have used a Particle Swarm Optimization (PSO) based search technique to synthesize a reversible logic gate network from a given specification. The iterative algorithm tries to obtain a near optimal solution without exploring the entire search space, and takes advantage of the heuristics used during the search process. The heuristics used are specific to the problem which provides a way to move in proper direction. Experiments carried out on benchmark circuits suggest that in many cases PSO based technique provides optimal or near-optimal solutions, and the synthesis time is significantly fast.
机译:在过去的几十年里,功耗已成为电子工业中的主要问题,各种技术已经演变为减少权力。可逆电路在这种情况下可以非常重要,因此已成为各种应用的活跃研究区域。文献中存在许多技术,该技术试图从给定规范合成可逆电路。在本文中,我们使用了基于粒子群优化(PSO)的搜索技术来从给定的规范中综合可逆逻辑门网络。迭代算法试图在不探索整个搜索空间的情况下获得近最佳解决方案,并利用在搜索过程中使用的启发式。所使用的启发式是特定于提供以适当方向移动的方法。在基准电路上进行的实验表明,在许多情况下,基于PSO的技术提供了最佳或近最佳的解决方案,合成时间明显快。

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