ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION OF DYNAMICAL SYSTEMS

Autor: Naranjani, Yousef

Publikováno v: Naranjani, Yousef. (2016). ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION OF DYNAMICAL SYSTEMS. UC Merced: Mechanical Engineering. Retrieved from: http://www.escholarship.org/uc/item/1wx964cx

Multi-Objective Optimization Problems (MOPs) deal with optimizing several objectives simultaneously and have diverse applications in engineering, economics, logistics, etc. The methods for solving MOPs can generally be classified into stochastic and

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A hybrid method of evolutionary algorithm and simple cell mapping for multi-objective optimization problems.

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Publikováno v: International Journal of Dynamics & Control; Sep2017, Vol. 5 Issue 3, p570-582, 13p

A genetic algorithm and cell mapping hybrid method for multi-objective optimization problems.

Autor: Naranjani, Yousef, Sardahi, Yousef, Sun, J. Q.

Publikováno v: 2014 11th International Conference on Electrical Engineering, Computing Science & Automatic Control (CCE); 2014, p1-5, 5p

Simple cell mapping method for multi-objective optimal feedback control design.

Autor: Hernández, Carlos, Naranjani, Yousef, Sardahi, Yousef, Liang, Wei, Schütze, Oliver, Sun, Jian-Qiao

Publikováno v: International Journal of Dynamics & Control; Sep2013, Vol. 1 Issue 3, p231-238, 8p