【摘 要】
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This paper presents an algorithm of artificial fish bases on the hybrid intelligent for solving the optimization of xylene isomerization reaction.The algori
【机 构】
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East China University of Science and Technology,China
【出 处】
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第三届先进计算智能与智能信息学国际研讨会(The Third International Workshop on Adv
论文部分内容阅读
This paper presents an algorithm of artificial fish bases on the hybrid intelligent for solving the optimization of xylene isomerization reaction.The algorithm is a hybrid method which is composed of the artificial fish swarm algorithm(AFSA)and particle swarm optimization(PSO)search in parallel.In the first step,the artificial fish performs the for aging behavior,by introducing the simulated annealing algorithm(SA)to carry out the local refining.The second,a strategy of the search domain “narrow” is adopted to accelerate the global search speed.Finally the gauss mutation updates the historical fish individual state,which can amend artificial fish flanerie random walk to seek for a global extreme value and improve the quality and efficiency.The experimental results are compared with that of literature show that the improved algorithm of this paper has better optimization results.
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