Yield-area optimizations of digital circuits using non-dominated sorting genetic algorithm (yoga)

Author(s):  
V. Agarwal ◽  
J. Wang

Binary Decision Diagrams or BDD are data structure used to represent single and multi-output digital circuits. BDD mapped adder circuits are used to represent different adder functions in a digital system. Optimization of adder circuits are done by optimizing the corresponding BDDs. In this work the optimization of BDD Mapped adder circuits are proposed by using genetic algorithm with position-based crossover-PX technique. The main feature of position-based crossover technique is that it is suitable for order-based solution formation. We compared our result with other existing variable order method available in BDD manipulation tool BuDDy-2.4. The result is obtained for Full Adder circuits of 1 to 8-bit size. Experimental results show the improvement of the proposed work over other techniques. The result is quite significant for large circuits i.e. full adder circuit having larger bit size.


2016 ◽  
Author(s):  
Wilian Soares Lacerda ◽  
Luiz Henrique Rowan Peixoto ◽  
Thomaz Chaves de A. Oliveira

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