Designing integrated guidance law for aerodynamic missiles by multi-objectives evolutionary algorithm and tabu search

In this paper, a Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed for designing an Integrated Fuzzy Guidance Law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and the rules are obtained by solving a nonlinear constrained multiobjectives optimization problem where final time, energy consumption, and miss distance are treated as competing objectives. Tabu search is proposed to get the initial feasible solution for the multi-objective optimization algorithm. Then a hierarchical clustering technique is implemented to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the tradeoff front. Moreover, a fuzzy-based mechanism is employed to extract the best compromise solution over the trade-off curve. The simulation results show that the proposed design technique was able to generate a missile guidance law with satisfactory performance with the existence of noisy measurements.