研究固定边框布图规划方法,提出一种改进的离散粒子群优化算法进行布图规划求解,采用一种自然数列的粒子表示方法,并设计粒子群优化算法的相关操作.基于MCNC和GSRC基准电路对算法性能进行验证,实验结果表明,该方法具有成功率高、寻优快等特点,能够高效解决基于固定边框布图规划问题.
The fixed - outline floorplanning is well studied. For the fixed - outline floorplanning, an improved discrete particle swarm optimization algorithm using the particle representation of the se- quence of natural numbers is proposed and operations of the discrete particle swarm optimization algo- rithm are designed. The MCNC benchmark circuits are employed to verify the performance of the algo- rithm. The experimental results showed that the application of this improved discrete particle swarm optimization algorithm has high success rate in solving the fixed -outline floorplanning and it can effi- ciently tackle the problem.