摘要
针对近年来国内外基于遗传算法求解非线性方程组的研究情况进行了系统总结,揭示了各种遗传策略的综合运用,遗传算法与传统迭代方法或其他智能优化方法的有效结合,并行遗传算法是基于遗传算法方法求解非线性方程组成功的关键,同时对未来的研究方向进行了展望。
This paper puts forward a summary of researches on solving nonlinear equations by genetic algo- rithms. The integrated use of various genetic strategies and the effective combination of genetic algorithms and tradi- tional iterative methods or other intelligent optimization methods are discussed. It is found that the parallel genetic al- gorithm is the key to solving nonlinear equations by genetic algorithms. The future research directions are also dis- Cussed.
出处
《电子科技》
2014年第4期173-178,共6页
Electronic Science and Technology
基金
国家自然科学基金资助项目(10871178)
浙江广播电视大学科研基金资助项目(xkt-2005-40)
杭州广播电视大学重点科研基金资助项目(KZYZD-2010-9)
关键词
遗传算法
非线性方程组
遗传算子
genetic algorithms
nonlinear equations
genetic operator