Analysis of Optimization for Aircraft Pressure Refuel System on the Ground

Aimed to traditional genetic algorithms and simulated annealing simplex method, this paper proposes an improved simulated annealing with neighbor function based on self-optimization of scale parameter. Furthermore, with multi-operator mutations based on probabilistic acceptance, combing the improved annealing into genetic algorithm, an refine genetic- annealing algorithms is proposed. Numerical simulation results based on aircraft pressure refuel system on the ground demonstrate the efficiency of the proposed algorithms applied to high-dimensional complex functions, whose performances are quite better than GA and SMSA. This improves the effectiveness of optimum configuration of refuel pipeline orifices greatly.