The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks

Deng, Haishan; Xiang, Bingren; Yu, Zhan; Li, Wei; Li, X.; Jiang, Caiyun; Wu, Xiumei; Liu, Dan

doi:10.1155/2014/767018

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…where d 1 and d 2 are positive constants. With closed-loop system described as (22), it easy to obtain the time derivative of V , which is given by:…”

Section: Appendix a 81 Proof Of Theoremmentioning

confidence: 99%

“…Moreover, the parameters of the controller have great influence on the control performance. GA, which is inspired by the evolutionary principle of “survival of the fittest" , has been proposed as a powerful search strategy for tackling complex optimization problems with high efficiency and robustness . To achieve good performance under the constraint of actuators, this paper optimizes the parameters of controller via a genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Fuzzy PD+ Control for Attitude Maneuver of Rigid Spacecraft

Chen¹,

Li²,

Liu³

et al. 2015

Asian Journal of Control

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In this paper, an adaptive fuzzy PD+ controller is proposed for the attitude maneuver of rigid spacecraft. The novel controller adjusts the gains of the PD+ attitude controller online according to attitude errors and angular velocity errors during the maneuver procedure. Therefore, quick response and avoidance of actuator saturation can be achieved simultaneously. Furthermore, the adaptation mechanism is designed, based on Lyapunov theory, to guarantee the stability of the closed-loop system. To achieve good performance of the closed-loop system under the constraint of actuator saturation, controller parameter optimization is developed on the basis of a genetic algorithm. Simulation results show that the transient performance and robustness against parametric uncertainty and environmental disturbance of the adaptive fuzzy PD+ controller are better than those of a constant PD+ controller.

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“…where d 1 and d 2 are positive constants. With closed-loop system described as (22), it easy to obtain the time derivative of V , which is given by:…”

Section: Appendix a 81 Proof Of Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy PD+ Control for Attitude Maneuver of Rigid Spacecraft

Chen¹,

Li²,

Liu³

et al. 2015

Asian Journal of Control

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show abstract

“…Several approaches, such as importing external force or external noise , have been adopted to help the weak chromatographic peak leap over the potential energy barrier so that SR can occur and the weak peak can be amplified. As a result, more parameters are introduced into the algorithm and the parameter optimization becomes perplexing and time‐consuming .…”

Section: Introductionmentioning

confidence: 99%

The stochastic resonance algorithm with the direct current signal as external force and its application to the detection of weak chromatographic peaks

Xiang

Deng

2017

J of Separation Science

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As a potential tool for amplifying weak chromatographic peaks, the stochastic resonance algorithm was developed based upon a counterintuitive physical phenomenon. Therefore, the essential step, parameter optimization, was perplexing and difficult for analysts. In order to avoid optimizing the system parameters on a case-by-case basis, an improved algorithm was proposed by introducing a constant or direct current signal into the signal to be measured as the external force. The weak chromatographic peak can be amplified and detected by the new algorithm using the same set of parameters. Two sets of our previous experimental data were reanalyzed by using the developed algorithm and the results were satisfactory. A generalized solution was expected to come into being on account of the new algorithm.

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An Improved Algorithm for Optimising the Production of Biochemical Systems

Ismail¹,

Mezhuyev²,

Mohamad³

et al. 2020

Recent Trends in Artificial Neural Networks - From Training to Prediction

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This chapter presents an improved method for constrained optimisation of biochemical systems production. The aim of the proposed method is to maximise its production and, at the same time, to minimise the total amount of chemical concentrations involved in producing the best production. The proposed method models biochemical systems with ordinary differential equations. The optimisation process became complex for the large size of biochemical systems that contain many chemicals. In addition, several constraints as the steady-state constraint and the constraint of chemical concentrations also contributed to the computational complexity and difficulty in the optimisation process. This chapter considers the biochemical systems as a nonlinear equations system. To solve the nonlinear equations system, the Newton method was applied. Then, both genetic algorithm and cooperative co-evolutionary algorithm were applied to fine-tune the components in the biochemical systems to maximise the production and minimise the total amount of chemical concentrations involved. Two biochemical systems were used, namely the ethanol production in the Saccharomyces cerevisiae pathway and the tryptophan production in the Escherichia coli pathway. In evaluating the performance of the proposed method, several comparisons with other works were performed, and the proposed method demonstrated its effectiveness in maximising the production and minimising the total amount of chemical concentrations involved.

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The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks

Cited by 3 publications

References 22 publications

Adaptive Fuzzy PD+ Control for Attitude Maneuver of Rigid Spacecraft

Adaptive Fuzzy PD+ Control for Attitude Maneuver of Rigid Spacecraft

The stochastic resonance algorithm with the direct current signal as external force and its application to the detection of weak chromatographic peaks

An Improved Algorithm for Optimising the Production of Biochemical Systems

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