Pan Feng
Chongqing University of Science and Technology, Chongqing, China
ABSTRACT
Computational intelligent algorithm in modern life, more and more extensive application in engineering practice, is mainly used to solve the automatic layout optimization problems, the research on it has important significance. This study mainly studies intelligent computing algorithm in automatic layout optimization problem in the application, intelligent computation algorithm contains more categories, such as genetic algorithm, ant colony algorithm, simulated annealing algorithm, the algorithm in solving automatic optimum layout problem, have its distinctive place. This study, firstly research on genetic algorithms by solving automatic optimum layout example function, crossover heavy group solve tour business problems as well as through dualistic coding knapsack problem application, followed by study of ant colony algorithm function extreme value problem the ant system and local search method of combining the two distribution, through the improvement of ant colony algorithm technology cogeneration economic scheduling problem, make full use of the ant colony advantage, use of pheromone solving automatic optimum layout problem.
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How to cite this article
Pan Feng, 2013. Research on the Optimum Layout Technology Based on Computing Intelligent. Information Technology Journal, 12: 3067-3074.
DOI: 10.3923/itj.2013.3067.3074
URL: https://scialert.net/abstract/?doi=itj.2013.3067.3074
DOI: 10.3923/itj.2013.3067.3074
URL: https://scialert.net/abstract/?doi=itj.2013.3067.3074
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