Dynamic multi-objective optimization based on membrane computing for control of time-varying unstable plants
- Title
- Dynamic multi-objective optimization based on membrane computing for control of time-varying unstable plants
- Author
- 서일홍
- Keywords
- Dynamic multi-objective optimization; Time-varying system; Membrane computing (P systems); Membrane control strategy
- Issue Date
- 2011-06
- Publisher
- Elsevier Science B.V., Amsterdam.
- Citation
- INFORMATION SCIENCES, 181, 11, 2370-2391
- Abstract
- Dynamic multi-objective optimization is a current hot topic. This paper discusses several issues that has not been reported in the static multi-objective optimization literature such as the loss of non-dominated solutions, the emergence of the false non-dominated solutions and the necessity for an online decision-making mechanism. Then, a dynamic multi-objective optimization algorithm is developed, which is inspired by membrane computing. A novel membrane control strategy is proposed in this article and is applied to the optimal control of a time-varying unstable plant. Experimental results clearly illustrate that the control strategy based on the dynamic multi-objective optimization algorithm is highly effective with a short rise time and a small overshoot. (C) 2011 Elsevier Inc. All rights reserved.
- URI
- https://www.sciencedirect.com/science/article/pii/S0020025511000041
- ISSN
- 0020-0255
- DOI
- 10.1016/j.ins.2010.12.015
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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