publication . Part of book or chapter of book . 2010

Conflicting Multi-Objective Compatible Optimization Control

Xu, Lihong; Hu, Qingsong; Hu, Haigen; Goodman, Erik;
Open Access English
  • Published: 01 Feb 2010
  • Publisher: InTech
Based on ideas developed in addressing practical greenhouse environmental control, we propose a new multi-objective compatible control method. Several detailed algorithms are proposed to meet the requirements of different kinds of problem: 1) A two-layer MOCC framework is presented for problems with a precise model; 2) To deal with situations
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Part of book or chapter of book . 2010
Provider: InTech
24 references, page 1 of 2

Arvanitis, K.G., Paraskevopoulos, P.N. & Vernardos, A.A., (2000). Multirate adaptive temperature control of greenhouses. Computers and Electronics in Agriculture. 26, 3, 303-320, 0168-1699

Chen, J. (2008). Multi-objective Control Research on Oversaturated Urban transportation, Ph.D dissertation, (Advisor: Xu, L. ), Tongji University, Shanghai, China

Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T.(2002). A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6, 182- 197, 1089-778X [OpenAIRE]

Eisenhart, K. J. (2003). Multiobjective optimal control problems with endpoint and state constraint, Ph.D. thesis, Western Michigan University

Fleming, P.J., & Purshouse, R.C.(2002). Evolutionary algorithms in control systems engineering: a survey, Control Engineering Practice, 10, 1223-1241, 0967-0661 [OpenAIRE]

Goldberg, D.E.(1989). Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA

Hu(a), Q, Xu, L & Goodman, D E (2009). Non-even spread NSGA-II and its application to conflicting multi-objective compatible control, 2009 World Summit on Genetic and Evolutionary Computation, June 12-14, 2009, Shanghai, China

Hu(b), H, Xu, L & Hu, Q (2009). Model-based Compromise control of greenhouse climate using Pareto optimization, 2009 World Summit on Genetic and Evolutionary Computation, June 12-14, 2009, Shanghai, China

Jensen, M.T.(2003). Reducing the run-time complexity of multi-objective EAs: the NSGA-II and other algorithms, IEEE Transactions on Evolutionary Computation, 7, 503-515, 1089-778X

Masaaki, I. (1997). Multiobjective optimal control through linear programming with interval objective function, Proceedings of the 36th SICE Annual Conference, July 29-31, 1997,Tokushima, 1185-1188.

Nielsen, B. & Madsen, H.(1995). Identifieation of transfer functions for control of greenhouse air temperature. Journal of agriculture Engineering Research., 60, 25-34, 1995.

Pasgianos, G., Arvanitis K., Polycarpou P., & Sigrimis N.(2003). A nonlinear feedback technique for greenhouse environmental control, Computers and Electronics in Agriculture, 40:153-177, October 2003, 0168-1699 [OpenAIRE]

Rangan, S. & Poolla, K.(1997). Weighted optimization for multiobjective full-information control problems, System & Control Letter, 31, 207-213, 0167-6911 40, 1054-1061, 0018-9286

Scherer, C., Gahinet P. & Chilali, M.(1997). Multiobjective output-feedback control via LMI Optimization, IEEE Transactions on Automatic Control, 42, 896-911, 0018-9286 [OpenAIRE]

Sznaier, M., Rotstein, H., Bu, J. Y. & Sideris, A.(2000). An exact solution to continuous-time mixed H2 − H∞ control problems, IEEE Transactions on Automatic Control, 45, 2095-2101, 0018-9286

24 references, page 1 of 2
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