Gene Transinfection Directs Towards Gene Functional Enhancement Using Genetic Algorithm

Today, Genetic algorithm plays vital role in solving tough optimization problems with constrains for large search spaces. This works on the principle of survival of the fittest, involving natural evolution process of Darwin theory. GAs don’t opt direct method for resolving tough constrain based optimization problems which has to be carried out by some means, through modifying the existing operations in the phases of classical GA. Numerous operators and its operations subsist for which various design issue confront by most researchers. Among these issues one major issue that is hidden from the researches is, carrying out repairing on genes that are faulty. This paper proposes two bio-inspired gene functionality gene transformation and gene transinfection combined together to solve the problem of obtaining optimal solution. This further enhances the gene functionality through repairing in an effortless means. The proposed work has been tested on 0/1 knapsack problem and its results are compared with classical genetic algorithm which yields to provide better results when compared to that of classical GAs.