Digital Circuit Design Through Simulated Evolution (SimE)

Abstract- In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection and allocation. Two goodness measures are designed to guide the selection and allocation operations of SimE. Area, power and delay are considered in the optimization of circuits. Results obtained by SimE algorithm are compared to those obtained by Genetic Algorithm (CA)

Digital circuit design through simulated evolution (SimE)

In this paper, the use of simulated evolution (SimE) algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection and allocation. Two goodness measures are designed to guide the selection and allocation operations of SimE. Area, power and delay are considered in the optimization of circuits. Results obtained by SimE algorithm are compared to those obtained by genetic algorithm (GA)

Enhanced Simulated Evolution Algorithm For Digital Circuit Design Yielding Faster Execution in a Larger Solution Space

Abstrncl- Evolutionary algorithms have been studied by several researchers for the design of digital circuits. Simulated Evolution (SimE) is used in this paper due to it simplicity and customizability to combinatorial problems. A tree data structure based circuits are evolved. Thus, a larger solution space is investigated. In addition, a new pattern based goodness measure is presented

Enhanced Simulated Evolution Algorithm For Digital Circuit Design Yielding Faster Execution in a Larger Solution Space

Abstrncl- Evolutionary algorithms have been studied by several researchers for the design of digital circuits. Simulated Evolution (SimE) is used in this paper due to it simplicity and customizability to combinatorial problems. A tree data structure based circuits are evolved. Thus, a larger solution space is investigated. In addition, a new pattern based goodness measure is presented