Pankaj Agarwal, Princy Agarwal, Taru Maheswari, Shubhanjali Yadav and Vishnu Bali
This paper proposes few genetic operators to obtain better alignments of multiple molecular sequences.
Datasets from DNA families of Canis familiaris dataset have been considered for experimental work and analysis. All the proposed operators in the method have been implemented and validated within a self developed software tool which allows the user to select the various genetic operators for crossover, mutation, fitness calculation, population initialization. It guarantees the next generation of populations with better fitness value. Improvement in the overall population fitness is also calculated and evaluated. Survival of the fittest policy is followed to arrive at a better fitness in following generations. Observations based on variable parameters have been recorded, analyzed and presented in the form of results. Results were also compared with few standard existing online tools to study the feasibility of the proposed operators
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