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An easy‐to‐implement differential evolution approach for multi‐objective optimizations

Hui‐Yuan Fan (Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, Texas, USA)
Jouni Lampinen (Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland)
Yeshayahou Levy (Faculty of Aerospace Engineering, Technion‐The Israel Institute of Technology, Haifa, Israel)

Engineering Computations

ISSN: 0264-4401

Article publication date: 1 February 2006




To present and validate a new differential evolution (DE) method for multi‐objective optimization method.


A new selection scheme was designed to replace the existing one in DE to enable DE applicable to either single objective or multi‐objective optimizations.


The new method was validated with three simple multi‐objective optimization problems. The simulation results show that the approach is capable of generating an approximated Pareto‐front for each selected problem. The new DE method was used to optimize a prototype air mixer subject to two objective functions to be minimized. The results demonstrate that the new DE approach can handle this practical multi‐objective problem successfully.


The new method is an easy‐to‐implement evolutionary method and has the potential for application for any complicated engineering optimizations.



Fan, H., Lampinen, J. and Levy, Y. (2006), "An easy‐to‐implement differential evolution approach for multi‐objective optimizations", Engineering Computations, Vol. 23 No. 2, pp. 124-138.



Emerald Group Publishing Limited

Copyright © 2006, Emerald Group Publishing Limited

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