• M.V.Nageswara Rao

A Modified Genetic Algorithm (MGA) is used as a statistical technique for obtaining approximate solutions to combinatorial optimization problems. The MGA is a combination of Genetic Algorithm (GA) and Hamming Scan algorithms. It combines the good methodologies of the two algorithms like global minimum converging property of GA algorithm and fast convergence rate of Hamming scan algorithm. Sequences with good Discriminating factor are useful for channel estimation, radar, and spread spectrum communication applications. This algorithm is used to design Binary sequences, which have good Discriminating factor. The synthesized Binary sequence of length 126 is presented which have better autocorrelation value than literature. The design sequence is practically very useful for radar and communication applications.

Binary codes, Discriminating factor, Hamming Scan, Genetic algorithm

"Binary Sequences Design Using MGA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 3, page no.240-244, August-2014, Available :http://www.jetir.org/papers/JETIR1403076.pdf

"Binary Sequences Design Using MGA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 3, page no. pp240-244, August-2014, Available at : http://www.jetir.org/papers/JETIR1403076.pdf