Genetic Algorithm Inspired by Mimetic Octopus RNA Editing The mimetic Octopus is known for its ability to perform complex behaviors, and its intelligence has gone beyond human recognition. Researches have shown that mimetic Octopus can sacrifice the evolution of its own genomic DNA in exchange for extensive RNA editing. Inspired by the ability of selfediting RNA to modify its own genetic information, by encoding the four bases A, C, G, U, writes RNA genetic algorithm, and calculate the different test functions. After many comparative experiments, it is concluded that this algorithm has certain effectiveness in optimization performance, which can be found quickly jump out of the local loop, and then find the global optimal value. The research of this algorithm is helpful to further explore the influence of RNA editing mechanism on the evolution of mimetic Octopus.

The Effects of Memes on Memetic Algorithms for Solving Quadratic Assignment Problem The quadratic assignment problem (QAP) is known as one of NPhard combinatorial optimization problems where a set of facilities must be assigned to a set of locations in order to minimize total cost. In this paper, we present the effect of local search algorithm referred to as meme on Memetic Algorithms (MAs). We also compare four different local search metaheuristics: Hill Climbing Algorithm (HC), Tabu Search (TS), Simulated Annealing (SA), and Iterated Local Search (ILS) for solving QAP and analyze their performance in terms of solution quality. The results show that ILS is the best metaheuristic followed by SA, TS, and HC, respectively. While the MA using ILS as a meme is the best among all four MAs, the MA using SA as a meme is not the secondbest metaheuristic, but the worst among all.