Multiple Demonstration of Trajectory Imitation Learning Based on Multi Constrained Optimization Method

2017 ◽  
Author(s):  
Jianjun Yu ◽  
Yijia Zheng ◽  
Xiaogang Ruan
Keyword(s):  
Constrained Optimization ◽  
Optimization Method ◽  
Imitation Learning

Lifecycle-based Swarm Optimization Method for Constrained Optimization

2011 ◽  
Vol 6 (5) ◽  
Author(s):  
Hai Shen ◽  
Yunlong Zhu ◽  
Li Jin ◽  
Haifeng Guo
Keyword(s):  
Constrained Optimization ◽  
Optimization Method ◽  
Swarm Optimization

A constrained optimization method based on BP neural network

2016 ◽  
Vol 29 (2) ◽  
pp. 413-421 ◽  
Author(s):  
Li Zhang ◽  
Fulin Wang ◽  
Ting Sun ◽  
Bing Xu
Keyword(s):  
Neural Network ◽  
Constrained Optimization ◽  
Bp Neural Network ◽  
Optimization Method

scholarly journals On a New Optimization Method With Constraints

2020 ◽  
Vol 12 (5) ◽  
pp. 27
Author(s):  
Bouchta x RHANIZAR
Keyword(s):  
Constrained Optimization ◽  
Optimization Problem ◽  
Convex Set ◽  
Optimization Method ◽  
New Method ◽  
Constrained Optimization Problem ◽  
Numerical Examples ◽  
Unconstrained Problem ◽  
Closed Convex Set

We consider the constrained optimization problem  defined by: $$f(x^*) = \min_{x \in  X} f(x) \eqno (1)$$ where the function  $f$ : $ \pmb{\mathbb{R}}^{n} \longrightarrow \pmb{\mathbb{R}}$ is convex  on a closed convex set X. In this work, we will give a new method to solve problem (1) without bringing it back to an unconstrained problem. We study the convergence of this new method and give numerical examples.

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