期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
基于遗传算法的最小误工任务数问题求解 被引量:1
1
作者 王艳红 张文娟 《贵州大学学报(自然科学版)》 2009年第3期25-27,共3页
为了解决最小误工任务数问题(MTTP),将遗传算法引入该问题的求解中,基于惩罚函数,讨论了MTTP的遗传算法求解方法。并对genGA,ssGA,cGA三种演化式算法求解MTTP的实验运行结果进行分析比较,得出在解决大规模的MTTP时,genGA明显优于另两种... 为了解决最小误工任务数问题(MTTP),将遗传算法引入该问题的求解中,基于惩罚函数,讨论了MTTP的遗传算法求解方法。并对genGA,ssGA,cGA三种演化式算法求解MTTP的实验运行结果进行分析比较,得出在解决大规模的MTTP时,genGA明显优于另两种演化式算法。 展开更多
关键词 误工任务数 遗传算法 演化式算法
下载PDF
基于改进郭涛算法的CCEA函数优化问题 被引量:4
2
作者 张萍 李涛 李振华 《计算机工程》 CAS CSCD 北大核心 2008年第4期231-232,249,共3页
郭涛算法在求解函数优化问题方面具有独特的优势,其核心在于多父体杂交。鉴于郭涛算法只有杂交操作而没有变异操作,该文引入高斯正态分布变异算子,提高了对复杂问题的求解效率。分析合作式协同演化算法(CCEA),采用多种群相互作用协同进... 郭涛算法在求解函数优化问题方面具有独特的优势,其核心在于多父体杂交。鉴于郭涛算法只有杂交操作而没有变异操作,该文引入高斯正态分布变异算子,提高了对复杂问题的求解效率。分析合作式协同演化算法(CCEA),采用多种群相互作用协同进化的策略求解复杂问题。同时在合作式协同演化模型中引入了郭涛算法,求解复杂高维的函数优化问题。实验结果表明,该模型的效率优于其他模型。 展开更多
关键词 郭涛算法 高斯变异算子 合作协同演化算法
下载PDF
基于CCEA和改进郭涛算法的函数优化问题求解
3
作者 张萍 张良 +1 位作者 李涛 李振华 《计算机工程与设计》 CSCD 北大核心 2008年第10期2578-2580,共3页
在合作式协同演化(CCEA)的基础上,引入了使用高斯变异算子的郭涛算法,设计了一种求解函数优化问题的高效混合演化算法。通过求解复杂高维的函数优化问题的多个实例,并将该算法和CCEA与基本郭涛算法结合的方法——CCGT进行了对比。实验... 在合作式协同演化(CCEA)的基础上,引入了使用高斯变异算子的郭涛算法,设计了一种求解函数优化问题的高效混合演化算法。通过求解复杂高维的函数优化问题的多个实例,并将该算法和CCEA与基本郭涛算法结合的方法——CCGT进行了对比。实验结果表明,新算法是高效的,其结果优于现存文献中的其它模型,但不及CCGT优秀。证明在该算法中引入的高斯变异算子的作用不大。 展开更多
关键词 郭涛算法 改进郭涛算法 高斯变异算子 合作协同演化算法 函数优化
下载PDF
Deformation mechanism of cold ring rolling in view of texture evolution predicted by a newly proposed polycrystal plasticity model 被引量:3
4
作者 李宏伟 冯璐 杨合 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2013年第12期3729-3738,共10页
An explicit polycrystal plasticity model was proposed to investigate the deformation mechanism of cold ring rolling in view of texture evolution. The model was created by deducing a set of linear incremental controlli... An explicit polycrystal plasticity model was proposed to investigate the deformation mechanism of cold ring rolling in view of texture evolution. The model was created by deducing a set of linear incremental controlling equations within the framework of crystal plasticity theory. It was directly solved by a linear algorithm within a two-level procedure so that its efficiency and stability were guaranteed. A subroutine VUMAT for ABAQUS/Explicit was developed to combine this model with the 3D FE model of cold ring rolling. Results indicate that the model is reliable in predictions of stress-strain response and texture evolution in the dynamic complicated forming process; the shear strain in RD of the ring is the critical deformation mode according to the sharp Goss component ({110}?100?) of deformed ring; texture and crystallographic structure of the ring blank do not affect texture type of the deformed ring;texture evolves rapidly at the later stage of rolling, which results in a dramatically increasing deformation of the ring. 展开更多
关键词 cold ring rolling crystal plasticity texture evolution explicit algorithm
下载PDF
Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm
5
作者 王文伟 Zhu +2 位作者 Cheng Lin Cheng 《High Technology Letters》 EI CAS 2010年第1期29-33,共5页
The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to... The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimiza- tion problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems. 展开更多
关键词 transmission system parameter optimization dynamical evolutionary algorithm (DEA) electric bus
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部