Yazar "Nasseri, S. H." seçeneğine göre listele

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    Genetic Mining: Using Genetic Algorithm for Topic based on Concept Distribution
    (World Acad Sci, Eng & Tech-Waset, 2006) Khalessizadeh, S. M.; Zaefarian, R.; Nasseri, S. H.; Ardil, E.
    Today, Genetic Algorithm has been used to solve wide range of optimization problems. Some researches conduct on applying Genetic Algorithm to text classification, summarization and information retrieval system in text mining process. This researches show a better performance due to the nature of Genetic Algorithm. In this paper a new algorithm for using Genetic Algorithm in concept weighting and topic identification, based on concept standard deviation will be explored.
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    Solving Bus Terminal Location Problem Using Genetic Algorithm
    (World Acad Sci, Eng & Tech-Waset, 2006) Babaie-Kafaki, S.; Ghanbari, R.; Nasseri, S. H.; Ardil, E.
    Bus networks design is an important problem in public transportation. The main step to this design, is determining the number of required terminals and their locations. This is an especial type of facility location problem, a large scale combinatorial optimization problem that requires a long time to be solved. The genetic algorithm (GA) is a search and optimization technique which works based on evolutionary principle of natural chromosomes. Specifically, the evolution of chromosomes due to the action of crossover, mutation and natural selection of chromosomes based on Darwin's survival-of-the-fittest principle, are all artificially simulated to constitute a robust search and optimization procedure. In this paper, we first state the problem as a mixed integer programming (MIP) problem. Then we design a new crossover and mutation for bus terminal location problem (BTLP). We tested the different parameters of genetic algorithm (for a sample problem) and obtained the optimal parameters for solving BTLP with numerical try and error.