摘要
在详细分析模式定理及典型遗传算法运行机理基础上,针对"隐式约束"问题,创造性地对其进行了适应性改造,并证明了其收敛性。仿真算例及工程实践问题表明,该方法有极强的全局寻优及高速收敛能力,是值得推荐使用的有效方法之一。
Genetic algorithm is altered to solve the problems restricted by the implicit formula on the basis of the research on schema theorem and canonical genetic algorithm theorem. The simulation results show that its performance of searching the global optimal solution and rapid convergence is better than that of some other GAs. It is a good way in numerical computing.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2005年第2期127-130,共4页
Journal of National University of Defense Technology
关键词
模式定理
全局收敛
欺骗问题
一体化优化设计
schema theorem
global convergence
deceptive problem
integral design optimization