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{ "item_title" : "DNA Computing Based Genetic Algorithm", "item_author" : [" Jili Tao", "Ridong Zhang", "Yong Zhu "], "item_description" : "Introduction.- DNA computing based RNA-GA.- DNA double-helix based hybrid genetic algorithm.- DNA computing based multi-objective genetic algorithm.- Parameter identification and optimization for chemical process.- RBF neural network for nonlinear SISO system.- T-S Fuzzy neural network for nonlinear SISO system.- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding Remarks.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/155/405/9811554056_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
DNA Computing Based Genetic Algorithm|Jili Tao

DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control

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Overview

Introduction.- DNA computing based RNA-GA.- DNA double-helix based hybrid genetic algorithm.- DNA computing based multi-objective genetic algorithm.- Parameter identification and optimization for chemical process.- RBF neural network for nonlinear SISO system.- T-S Fuzzy neural network for nonlinear SISO system.- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding Remarks.

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Details

  • ISBN-13: 9789811554056
  • ISBN-10: 9811554056
  • Publisher: Springer
  • Publish Date: July 2021
  • Dimensions: 9.21 x 6.14 x 0.6 inches
  • Shipping Weight: 0.89 pounds
  • Page Count: 274

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