A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
这篇文章2016年发表在TEC。 作者是Ran Cheng, Yaochu Jin, Fellow, IEEE, Markus Olhofer, and Bernhard Sendhoff, Senior Member, IEEE 这篇文章针对高维问题提出了一个基于参考向量的进化算法。参考向量不仅仅用于将原始多目标优化问题分解成多个单目标问题，还表明用户偏好，以针对整个PF面上的一个偏好子集。这篇
相关文章
- 1. Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines 论文研读
- 2. Profile Guided Optimization Link Time Optimization
- 3. A Duplication Analysis Based Evolutionary Algorithm for Bi-objective Feature Selection
- 4. Course2-week2-optimization algorithm
- 5. Optimization algorithm----Deep Learning
- 6. Gentle Introduction to the Adam Optimization Algorithm for Deep Learning
- 7. An Improved Differential Evolution Algorithm for Unconstrained Optimization Problems
- 8. [Evolutionary Algorithm] 进化算法简介
- 9. ADAM A METHOD FOR STOCHASTIC OPTIMIZATION
- 10. MultiObjective using Evolutionary Algorithms (2) -- Multi-Objective Optimization
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Lua for 循环 - Lua 教程
- • 算法总结-广度优先算法
- • 算法总结-滑动窗口
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines 论文研读
- 2. Profile Guided Optimization Link Time Optimization
- 3. A Duplication Analysis Based Evolutionary Algorithm for Bi-objective Feature Selection
- 4. Course2-week2-optimization algorithm
- 5. Optimization algorithm----Deep Learning
- 6. Gentle Introduction to the Adam Optimization Algorithm for Deep Learning
- 7. An Improved Differential Evolution Algorithm for Unconstrained Optimization Problems
- 8. [Evolutionary Algorithm] 进化算法简介
- 9. ADAM A METHOD FOR STOCHASTIC OPTIMIZATION
- 10. MultiObjective using Evolutionary Algorithms (2) -- Multi-Objective Optimization