Multi-Objective Meta Heuristic Optimization Algorithm with Multi Criteria Decision Making Strategy for Aero-Engine Controller Design
Soheil Jafari, Poya Khalaf, Morteza Montazeri‐Gh · Journal of the aerospace sciences/Journal of the aero/space sciences · 2014
Taking the rapid growth of using multi criteria decision making (MCDM) strategies in multi-objective optimization algorithms into account, this paper presents a multi-objective invasive weed optimization (MOIWO) algorithm based on two posteriori MCDM methods in order to design an optimized controller for aero-engines. For this purpose, the IWO algorithm, as a well-established meta-heuristic optimization algorithm, is firstly extended into a multi-objective version. Then, the problem of controller design for aero-engines is formulated as an engineering optimization problem where a single spool turbojet engine model is used as a case study. Next, in order to select a preferred solution from the Pareto front obtained by the MOIWO algorithm, two posteriori MCDM techniques namely the compromise programming approach (with lp and Tchebycheff Metrics) and the pseudo-weight vector approach have been adopted. Finally, the selected solutions are simulated with the engine model. The analysis of the simulation results shows the effectiveness of the proposed method in design and optimization of the engine controller.