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- W2372936812 abstract "Ant colony algorithm is a brand-new type of simulative evolution algorithm,which focus on its solution to conform optimized question.The author utilizes this algorithm to optimize PID control parameter,but in basic ant colony algorithm,there are some defects of slow convergence speed,easy to get stagnate,and low ability of full search.This paper presents a method of optimized PID control of self-adapted ant colony algorithm based on genetic gene and design out the parameter optimized diagram.This method not only overcomes the shortage of basic ant colony algorithm,but also perfectly realizes the optimization of PID control parameter.Compared to the result of simulation with Z-N optimization,genetic algorithm and basic ant colony algorithm,results of optimization can be greatly improved.The experiments show that this method has its practical value on controlling other objection and process." @default.
- W2372936812 created "2016-06-24" @default.
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- W2372936812 date "2006-01-01" @default.
- W2372936812 modified "2023-09-25" @default.
- W2372936812 title "Optimal PID Control of Self-Adapted Ant Colony Algorithm Based on Genetic Gene" @default.
- W2372936812 hasPublicationYear "2006" @default.
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