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In this paper, a kind of improved method of diploid genetic algorithm (DGA) without considering the dominant and recessive of the allele is given directed at the disadvantages of DGA which are easy to fall into premature convergence and have low efficiency in late period local searching. Improved the genetic operation process by imitating the reproductive processes of diplont and adopting the process...
Neural network and genetic algorithm have attracted a great deal of attention as methods and theories realizing artificial intelligence recently. The combination of these two is drawing more and more attention. This paper demonstrates the possibility of combining neural network with genetic algorithm. An improved genetic algorithm for the learning of neural network's connection weights is presented...
The theories of machine-learning are applied to the immune genetic algorithm. Chromosomes' immunity is enhanced and the average fitness of chromosomes is improved by using adaptive vaccine, so as to avoid the loss of the best solution, shrink the searching space and speed up the evolution, then the best solution can be get earlier. At the same time, the results are compared with each other through...
One hybrid intelligent algorithm is designed to solve the annular water supply network optimization. The model to minimize the objective function of the annual reduced cost with the constraints of hydraulic conditions. The intelligent optimization algorithm population based incremental learning - PBIL based on probability learning strategy is combined to particle swarm optimization algorithm-PSO....
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