Gender approaches to evolutionary multi-objective optimization using pre-selection of criteria-Reference-Cited by-同舟云学术

Gender approaches to evolutionary multi-objective optimization using pre-selection of criteria

Published:2017-04-07 Issue:1 Volume:50 Page:120-144
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Kowalczuk Zdzisław¹,Białaszewski Tomasz¹

Affiliation:

1. Department of Robotics and Decision Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

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.2017.1305374

Reference50 articles.

1. Białaszewski, T., and Z. Kowalczuk. 2016. Solving Highly-Dimensional Multi-objective Optimization Problems by Means of Genetic Gender, Advanced and Intelligent Computations in Diagnosis and Control. Advances in Intelligent Systems and Computing, Springer-Verlag, Cham–Heidelberg–New York–Dordrecht–London, AISC 386, pp. 317–329.

2. Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms

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