1) nonconvex global optimization
非凸全局优化
2) non-convex optimization
非凸优化
1.
Up to now,the theory and algorithms of interior point methods for solving the non-convex optimization problem have not been well studied.
目前同伦内点算法用于求解非凸优化问题的理论与算法尚未完善,本文主要总结求解非凸优化问题的同伦内点法相关研究成果,并指出求解非凸优化的同伦内点算法有待于进一步深入研究的主要问题。
3) global optimization
全局优化
1.
Efficient interval-genetic algorithm for multi-peak global optimization;
高效求解多峰值全局优化的区间-遗传算法
2.
Improved evolutionary algorithm for global optimization based on a smooth function;
改进的基于平滑函数的全局优化进化算法
3.
Application of a new global optimization to displacement back analysis for geotechnical engineering;
一个新的全局优化算法在岩土工程反分析中的应用
6) general optimization
全局优化
1.
Because overestimation is one main limitation in interval computation,computation of interval function and solution of interval equations set are transformed into general optimization problems to determine the boundary of each interval element in the solution in this work.
计算中采用实数编码遗传算法求解全局优化问题。
2.
A new method of polygon metamorphosis based on morphology and general optimization is proposed in this paper.
通过对多边形的凸剖分，并建立２种不同多边形的凸子集映射，提出了一种全新的基于凸多边形变形的全局优化方法。
3.
The experiment for TSP shows that the improved algorithm can obtain better efficiency and general optimization.
TSP的数值实验表明了改进算法的可行性及更好的全局优化性。
补充资料：凸凸
1.高出貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条