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An improved multi-objective differential evolution algorithm and its application for array pattern synthesis

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4 Author(s)
Xin Li ; Nat. Key Lab. of Antennas & Microwave Technol., Xidian Univ., Xi''an, China ; Wen Tao Li ; Xiao Wei Shi ; Xia Ai

An efficient improved multi-objective differential evolution algorithm (IMODE) is presented in this paper. By utilizing an improved mutation strategy with the concept of random tournament selection, the proposed algorithm generates a well distributed Pareto optimal front. Then, the IMODE is applied in an array pattern synthesis problem in which a smaller beam width and lower side lobe level (SLL) with null in certain direction is necessary. The results show the IMODE has a better performance than NSGA-II and GDE3 in convergence to Pareto front and diversity of solutions, which indicate that the proposed algorithm is a competitive algorithm in multi-objective optimization problems.

Published in:

Microwave and Millimeter Wave Technology (ICMMT), 2012 International Conference on  (Volume:3 )

Date of Conference:

5-8 May 2012

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