A circuit designed by human often results in very hardware architectures, requiring a large amount of and computational resources. A wider objective is to find novel solutions to design such complex architectures that system functionality and performance may not be. Design automation using reconfigurable hardware Evolutionary Algorithms (EA), such as Genetic Algorithm (GA), is one of the methods to tackle this issue. This concept the notion of Evolvable Hardware (EHW) to the problem such as novel design solutions and circuit optimization. is a new field about the use of EA to synthesize a circuit. manipulates a population of individuals where each describes how to construct a candidate for a good. Each circuit is assigned a fitness, which indicates how a candidate satisfies the design specification. EA uses operators repeatedly to evolve new circuit from existing ones, and a resultant circuit will exhibit a desirable behavior. In this paper, circuit design by using GA with fitness function of circuit complexity, power and time delay is, and its effectiveness is shown by simulations.