A multiple surrogate assisted evolutionary algorithm for optimization involving iterative solvers-Reference-Cited by-同舟云学术

A multiple surrogate assisted evolutionary algorithm for optimization involving iterative solvers

Published:2017-11-29 Issue:9 Volume:50 Page:1625-1644
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Habib Ahsanul¹^ORCID,Singh Hemant Kumar¹,Ray Tapabrata¹

Affiliation:

1. School of Engineering and Information Technology (SEIT), University of New South Wales (UNSW), Canberra, Australia

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.2017.1401068

Reference32 articles.

1. A new robust design optimization approach for unmanned underwater vehicle design

2. Approximation and Model Management in Aerodynamic Optimization with Variable-Fidelity Models

3. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization

4. Reduced-Order Modeling

5. Limit state function identification using Support Vector Machines for discontinuous responses and disjoint failure domains

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