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Hybrid of Differential Evolution and Particle Swarm Optimization for Vector Evaluated Multi-population Optimization of Dna Code Words Designing

The performances of a multi-population optimizer, VEDEPSO as well as the proposed M-VEDEPSO are evaluated using ZDT test functions. As a result, both algorithms perform better than VEPSO. Futhermore, the modified version produces improved fitness distributions among its particles/individuals. Since the two VEDEPSO approaches are still new and yet to be applied in any application areas, they are applied into DNA code words designing.

The performances of a multi-population optimizer, VEDEPSO as well as the proposed M-VEDEPSO are evaluated using ZDT test functions.