Hybrid optimized algorithm based on differential evolution and genetic algorithm and its applications in pattern synthesis of antenna arrays

作者：Fan, Yu; Jin, Rong Hong; Geng, Jun Ping; Liu, Bo

来源：Acta Electronica Sinica, 2004, 32(12): 1997-2000.

• Algorithm stability
• Differential evolution
• Hybrid optimized algorithms
• Nonlinear problems
• Pattern synthesis
• Smart antennas

The pattern synthesis technique of adaptive arrays is one of the key technologies in smart antenna systems so that an efficient optimized algorithm is indispensable due to the complexity of the system. A hybrid optimized algorithm is proposed, which is based principally on the combination of the differential evolution theory and the genetic algorithm. In this algorithm the differential evolution operator is adopted as the main optimizing scheme while such techniques of the genetic algorithm, as crossover, mutation, etc, are employed. Therefore it is expected that advantages of both the differential evolution and the genetic algorithm are kept so that the hybrid model can optimize large scale, highly nonlinear problems well and improve the efficiency of the optimization process. Computer simulations show that the pattern synthesis of antenna arrays can be carried out with fast convergence and excellent stability by the model, even for complex cases.

• 出版日期2004
• 单位上海交通大学