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In order to solve the problems such as blindfold search, slower convergence, and sometimes unsuccessfully search in the present genetic algorithms used for intelligent test paper generation, this paper introduces an improved genetic algorithm for intelligent test paper generation. This algorithm generates optimized initial chromosome group and controlling crossing and variation recurring to test paper...
Attribute reduction is one of important problem of rough set theory. In order to get effectively attribute reduction, we presented an algorithm of attribute reduction of rough set based on improved adaptive genetic algorithm (IAGA). IAGA adjusts the crossover probability and mutation probability of each individual according to individual fitness value. The optimization capability and the convergence...
In order to solve the problem of slow convergence speed of adaptive genetic algorithm (AGA) in the early stage of evolution, an improved adaptive genetic algorithm (IAGA) was presented. With the introduction of an indicator evaluating the degree of population diversity, the new algorithm can adaptively adjust the probabilities of crossover. Furthermore, the IAGA was applied to vehicle routing problem...
To handle massive binary-coding infeasible solutions in distribution network reconfiguration, a sequence coding is presented. A loop is a gene and the switch sequence in the loop is the gene value. To resolve mutation probability and slow later-period convergence in clonal genetic algorithm(CGA), particle clonal genetic algorithm(PCGA) is proposed. It builds particle swarm algorithm (PSO) mutation...
Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable. The technology of image processing is an important way to monitor the status of boilers. In this paper, we use image segmentation operation in this area, and the segmentation process is based on an improved hybrid genetic algorithm. In this algorithm, the simulated annealing algorithms and immune...
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