A Comparison of Memetic & Tabu Search for the Cryptanalysis of Simplified Data Encryption Standard Algorithm

نویسنده

  • Poonam Garg
چکیده

Memetic algorithm(MA) is a population based heuristic search approach for optimization problems similar to genetic algorithm. GAs, however, rely on the concept of biological evolution, but MAs, in contrast, and mimic cultural evolution. The cryptanalysis of simplified data encryption standard can be formulated as NP-Hard combinatorial problem. In this paper, a comparison between memetic algorithm and tabu search were made in order to investigate the performance for the cryptanalysis on simplified data encryption standard problems (SDES). The methods were tested and various experimental results indicates that the proposed memetic algorithm is able to produce high quality solutions quickly and it also demonstrate that memetic algorithm performs better than the genetic algorithm for such type of NP-Hard combinatorial problem.

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تاریخ انتشار 2008