计算机应用与软件2013，Vol.30Issue(5)：245-247,282,4.DOI:10.3969/j.issn.1000-386x.2013.05.069
一种基于多目标遗传算法的高层次测试综合方法
A HIGH-LEVEL TEST INTEGRATION METHOD BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM
摘要
Abstract
A high-level test integration method based on multi-objective genetic algorithm is proposed in this paper,which completes the testable design of the circuit with the constraints of time and area during the process of high-level scheduling and functional unit allocation.Invalid chromosomes are avoided to produce through the transformation of constraint conditions and the new crossover operator,thereby the solution quality and the convergence rate in genetic algorithm are improved.The feasibility of this algorithm is demonstrated by the experimental result.关键词
可测性/高层次综合/遗传算法Key words
Testability / High-level integration / Genetic algorithm分类
信息技术与安全科学引用本文复制引用
孙强,杨俊茹..一种基于多目标遗传算法的高层次测试综合方法[J].计算机应用与软件,2013,30(5):245-247,282,4.基金项目
牡丹江师范学院省级重点创新预研项目(SY201001) （SY201001）
牡丹江师范学院博士科研启动基金项目(MSB200901) （MSB200901）
牡丹江师范学院青年专项基金创新项目(QC200901) （QC200901）
