標(biāo)題: Titlebook: DNA Computing Based Genetic Algorithm; Applications in Indu Jili Tao,Ridong Zhang,Yong Zhu Book 2020 Springer Nature Singapore Pte Ltd. 202 [打印本頁] 作者: 變更 時(shí)間: 2025-3-21 20:00
書目名稱DNA Computing Based Genetic Algorithm影響因子(影響力)
書目名稱DNA Computing Based Genetic Algorithm影響因子(影響力)學(xué)科排名
書目名稱DNA Computing Based Genetic Algorithm網(wǎng)絡(luò)公開度
書目名稱DNA Computing Based Genetic Algorithm網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱DNA Computing Based Genetic Algorithm被引頻次
書目名稱DNA Computing Based Genetic Algorithm被引頻次學(xué)科排名
書目名稱DNA Computing Based Genetic Algorithm年度引用
書目名稱DNA Computing Based Genetic Algorithm年度引用學(xué)科排名
書目名稱DNA Computing Based Genetic Algorithm讀者反饋
書目名稱DNA Computing Based Genetic Algorithm讀者反饋學(xué)科排名
作者: 犬儒主義者 時(shí)間: 2025-3-21 23:14 作者: 吞沒 時(shí)間: 2025-3-22 00:46
DNA Double-Helix and SQP Hybrid Genetic Algorithm, (HGA) is proposed in this chapter for the highly nonlinear constrained functions. Thereafter, the theoretical analysis for the convergence of the HGA is then made. In the global exploration phase, the Hamming cliff problem is solved by DNA double-helix structure, and DNA computing inspired operator作者: Cardiac 時(shí)間: 2025-3-22 04:38
DNA Computing Based Multi-objective Genetic Algorithm,, the inconsistent multi-objective functions are converted into Pareto rank value and density information of solution distribution. Then, the archive is introduced to keep the Pareto front individuals by Pareto sorting, and the maintaining scheme is executed to maintain the evenness of individual di作者: 極端的正確性 時(shí)間: 2025-3-22 08:42
Parameter Identification and Optimization of Chemical Processes,e the modeling and optimization problems. In this chapter, the estimation of model parameters for heavy oil thermal cracking is firstly solved by RNA-GA. Then, we use DNA-DHGA to solve the recipe optimization problem of gasoline blending with heavy nonlinear inequality constraints. DNA computing bas作者: 直言不諱 時(shí)間: 2025-3-22 15:36 作者: 直言不諱 時(shí)間: 2025-3-22 20:20 作者: 現(xiàn)存 時(shí)間: 2025-3-22 23:31 作者: 伴隨而來 時(shí)間: 2025-3-23 01:38 作者: ablate 時(shí)間: 2025-3-23 07:02
Further Idea on Optimal Q-Learning Fuzzy Energy Controller for FC/SC HEV,ol problems. GA can also be efficient to optimize the new emerging intelligent algorithm. Here, an adaptive fuzzy energy management control strategy (EMS) based on Q-Learning algorithm is presented for the real-time power split between the fuel cell and supercapacitor in the hybrid electric vehicle 作者: lanugo 時(shí)間: 2025-3-23 09:48
DNA Computing Based RNA Genetic Algorithm,re applied to demonstrate the application process of the RNA-GA algorithm, and compare with SGA to effectively show the results by alleviating the premature convergence and improving the exploitation capacity of SGA.作者: 伙伴 時(shí)間: 2025-3-23 15:03 作者: MELON 時(shí)間: 2025-3-23 21:28
DNA Double-Helix and SQP Hybrid Genetic Algorithm, is then made. In the global exploration phase, the Hamming cliff problem is solved by DNA double-helix structure, and DNA computing inspired operators are introduced to improve the global searching capability of GA.作者: PTCA635 時(shí)間: 2025-3-24 02:10
DNA Computing Based Multi-objective Genetic Algorithm,is introduced to keep the Pareto front individuals by Pareto sorting, and the maintaining scheme is executed to maintain the evenness of individual distribution in terms of individual crowding measuring.作者: jeopardize 時(shí)間: 2025-3-24 06:24 作者: beta-cells 時(shí)間: 2025-3-24 09:37
GA-Based RBF Neural Network for Nonlinear SISO System,ches of coke towers. To construct the temperature and pressure models in a coke furnace, RBF neural network is utilized to improve the modeling precision. Moreover, the shortcoming of RBF neural network, such as over-fitting is overcome.作者: Irremediable 時(shí)間: 2025-3-24 10:47 作者: 和平主義 時(shí)間: 2025-3-24 16:35 作者: 少量 時(shí)間: 2025-3-24 19:08
Book 2020rol and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.?作者: conceal 時(shí)間: 2025-3-25 02:24 作者: 責(zé)任 時(shí)間: 2025-3-25 04:33 作者: Substance 時(shí)間: 2025-3-25 10:09 作者: Palpitation 時(shí)間: 2025-3-25 14:16 作者: Blood-Clot 時(shí)間: 2025-3-25 17:32
https://doi.org/10.1007/978-3-642-99279-7GA. Then, we use DNA-DHGA to solve the recipe optimization problem of gasoline blending with heavy nonlinear inequality constraints. DNA computing based GAs are efficient in solving the optimization problems in chemical processes.作者: 有花 時(shí)間: 2025-3-25 23:33 作者: Rankle 時(shí)間: 2025-3-26 03:34
Ma?nahmen gegen Arbeitslosigkeittion with only input/output data information available. A fuzzy neural network and its improved framework are proposed and the improved genetic algorithms are designed for the structure and parameter optimization to catch the unknown plant dynamics. The hybrid encoding/decoding, neighborhood search 作者: 努力趕上 時(shí)間: 2025-3-26 04:38 作者: MAPLE 時(shí)間: 2025-3-26 12:25
GA Based Fuzzy Neural Network Modeling for Nonlinear SISO System,tion with only input/output data information available. A fuzzy neural network and its improved framework are proposed and the improved genetic algorithms are designed for the structure and parameter optimization to catch the unknown plant dynamics. The hybrid encoding/decoding, neighborhood search 作者: Common-Migraine 時(shí)間: 2025-3-26 13:48 作者: 放逐某人 時(shí)間: 2025-3-26 20:07
book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.?978-981-15-5405-6978-981-15-5403-2作者: CHASM 時(shí)間: 2025-3-26 21:03
Introduction,on. Secondly, it briefly introduces the biological basis, the problems of DNA biocomputing, and the significance of the combination of genetic algorithm and DNA computing. Finally, the main work and organizational structure of this book are introduced.作者: A簡潔的 時(shí)間: 2025-3-27 01:08 作者: Cholecystokinin 時(shí)間: 2025-3-27 07:52 作者: 小爭吵 時(shí)間: 2025-3-27 12:02
http://image.papertrans.cn/d/image/260121.jpg作者: 延期 時(shí)間: 2025-3-27 14:21 作者: irradicable 時(shí)間: 2025-3-27 20:28 作者: aspersion 時(shí)間: 2025-3-28 01:20
Führung in der digitalisierten Arbeitswelton. Secondly, it briefly introduces the biological basis, the problems of DNA biocomputing, and the significance of the combination of genetic algorithm and DNA computing. Finally, the main work and organizational structure of this book are introduced.作者: SUGAR 時(shí)間: 2025-3-28 02:38
Julia Reiner,Alexandra Cloots,Sabina Misochin this chapter. RNA molecules A, T, U, and C are utilized to encode the chromosome, and RNA molecular operations and DNA mutation model are combined to improve the crossover and mutation operators of SGA. The convergence of RNA-GA is analyzed using the Markov chain model. Five benchmark functions a作者: 符合規(guī)定 時(shí)間: 2025-3-28 09:50
Gefangen im Dilemma der ?New Work-Kultur“ (HGA) is proposed in this chapter for the highly nonlinear constrained functions. Thereafter, the theoretical analysis for the convergence of the HGA is then made. In the global exploration phase, the Hamming cliff problem is solved by DNA double-helix structure, and DNA computing inspired operator作者: 寵愛 時(shí)間: 2025-3-28 12:50 作者: CANT 時(shí)間: 2025-3-28 15:45
https://doi.org/10.1007/978-3-642-99279-7e the modeling and optimization problems. In this chapter, the estimation of model parameters for heavy oil thermal cracking is firstly solved by RNA-GA. Then, we use DNA-DHGA to solve the recipe optimization problem of gasoline blending with heavy nonlinear inequality constraints. DNA computing bas作者: Emasculate 時(shí)間: 2025-3-28 19:27 作者: Bmd955 時(shí)間: 2025-3-29 00:12 作者: exercise 時(shí)間: 2025-3-29 03:17 作者: 心痛 時(shí)間: 2025-3-29 11:19 作者: Culmination 時(shí)間: 2025-3-29 13:24
