An efficient interior-point algorithm with new non-monotone line search filter method for nonlinear constrained programming-Reference-Cited by-同舟云学术

An efficient interior-point algorithm with new non-monotone line search filter method for nonlinear constrained programming

Published:2016-05-10 Issue:2 Volume:49 Page:290-310
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Liwei¹,Liu Xinggao¹,Zhang Zeyin²

Affiliation:

1. State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Department of Control Science & Engineering, Zhejiang University, Hangzhou, PR China

2. Department of Mathematics, Zhejiang University, Hangzhou, PR China

Funder

Shanghai Aerospace Science and Technology Innovation Fund

Aerospace Science and Technology Innovation Fund of China Aerospace Science and Technology Corporation

Zhejiang Province Natural Science Foundation

Major Program of National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2016.1176828

Reference41 articles.

1. An inexact line search approach using modified nonmonotone strategy for unconstrained optimization

2. Modified differential evolution (MDE) for optimization of non-linear chemical processes

3. Robust optimization using hybrid differential evolution and sequential quadratic programming

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