NDLI: A multiple local search strategy in memetic evolutionary computation for Multi-objective Robust Control Design

Content Provider	IEEE Xplore Digital Library
Author	Jiaqi Liu Gao, X.Z. Wang, X. Zenger, K.
Copyright Year	2012
Description	Author affiliation: College of Information Engineering, Shanghai Maritime University, China (Gao, X.Z.) \|\| Department of Automation and Systems Technology, Aalto University School of Electrical Engineering, Finland (Wang, X.; Zenger, K.) \|\| Center for Control Theory and Guidance Technology, Harbin Institute of Technology, China (Jiaqi Liu)
Abstract	Memetic algorithms (MAs) with multiple Local Search Strategies (LSSs) for the mixed H robust control design is proposed and investigated in this paper. Multiple LSSs are introduced into a given evolutionary computation leading to a new memetic algorithm. The correcting memes, directed memes, and stochastic memes are used to form the meme pool for iterative search, by which the multiple LSSs can be combined with Multi-Objective Evolutionary Algorithms (MOEAs) together. The new algorithm is applied in Multi-objective Robust Control Design (MRCD), which is capable of both moving toward and along the Pareto can yield a better performance for these two norms. Finally, the result of the proposed memetic algorithm is compared with the numerical solution of the convex approximations in terms of the Linear Matrix Inequalities (LMIs).
Starting Page	645
Ending Page	650
File Size	252240
Page Count	6
File Format	PDF
ISBN	9781467317139
e-ISBN	9781467317146
e-ISBN	9781467317122
DOI	10.1109/ICSMC.2012.6377799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Memetics Robust control Algorithm design and analysis Optimization Search problems Robustness Sociology multiple local search strategies multi-objective optimization mixed H∞/H2 control memetic algorithms
Content Type	Text
Resource Type	Article

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