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crossover elitist preservation.
genetic algorithm with crossover elitist preservation.
The new method is called crossover elitist preservation mechanism and abbreviated as CEP.
The introduction of the crossover elitist preservation strategy can increase the sampling space and the competition among individuals.
The introduction of the crossover elitist preservation (CEP) mechanism can improve the speed of operation and ensure that the optimal solution is not abandoned.
In this paper, a novel search algorithm based on crossover elitist preservation mechanism (CEP) for solving protein ligand docking problems is proposed.
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The algorithm utilises the partially mixed crossover operation (PMX) under the elitist model: for each element of the current population, the local search is based upon the results of a landscape analysis that is executed only once in a pre-processing step; the best solution found so far is always part of the population.
By using the CEP mechanism, the search algorithm not only can retain elitists to improve the efficiency of crossover, but also can get better energy value and RMSD.
Table 2 GA parameters used in the study S. no GA parameters Magnitude/method 1 Population size 100 2 Selection method Tournament selection 3 Type of crossover (3 -point 4 Probability of crossover 0.95 5 Probability of mutation 0.05 6 Strategy Elitist 7 Maximum generations 3 -point
It has been labeled as string 5 and carried to the next generation (elitist strategy); The remaining four strings for reproduction, based on a deterministic tournament selection strategy, are chosen; Crossover with P c = 1 is applied; The mutation rate equal to 0 is set; Nominal convergence is checked.
Selection of the individuals is developed using the stochastic universal sampling procedure together with an elitist selection scheme and the generation of the offspring population is put into effect using the classical binary multipoint crossover (performed at two points) and uniform mutation operators.
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