A user-guided <i>innovization</i>-based evolutionary algorithm framework for practical multi-objective optimization problems-Reference-Cited by-同舟云学术

A user-guided innovization-based evolutionary algorithm framework for practical multi-objective optimization problems

Published:2022-11-24 Issue: Volume: Page:1-13
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Ghosh Abhiroop¹,Deb Kalyanmoy¹^ORCID,Goodman Erik¹^ORCID,Averill Ronald¹

Affiliation:

1. Michigan State University, East Lansing, MI, USA

Funder

Michigan State University

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.2022.2144275

Reference13 articles.

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3. A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

5. An introduction to cultural differences

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