Application of the hybrid genetic-simplex algorithm for deconvolution of electrochemical responses in SDLSV method

Kasprzyk, G.; Jaskuła, Marian

doi:10.1016/j.jelechem.2003.11.060

Cited by 21 publications

(14 citation statements)

References 11 publications

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“…One of the well-known drawbacks of the semidifferentiation procedure is increase in the current noise upon its application [2,42,72]. Although this effect might complicate deconvolution of overlapped semiderivative signals leading to higher errors, the presence of current noise should have the same impact for all the equations discussed above, i.e.…”

Section: Parametermentioning

confidence: 99%

“…(2) is completely symmetrical (Fig. 1) [4,12,42,52,62], the term preceding cosh −2 is equal to the peak height. A more complicated situation arises for an irreversible electron transfer, when the expression of the semiderivative peak is given by a series (Eq.…”

Section: Introductionmentioning

confidence: 99%

“…Various electrochemical processes, such as redox reactions with reduced and oxidised species present in the same phase [6,14,[21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], adsorption on surfaces of electrodes [36][37][38], electrodeposition [39][40][41][42][43][44][45][46][47][48] or electrodissolution [49][50][51] were analysed by means of semi-differentiation or semi-integration. The most extensive mathematical treatment related to these methods was applied to the electrochemical reactions were both oxidised and reduced form are soluble in the electrolyte phase and their transport proceeds under conditions of semi-infinite linear diffusion [4].…”

Section: Introductionmentioning

confidence: 99%

“…The most extensive mathematical treatment related to these methods was applied to the electrochemical reactions were both oxidised and reduced form are soluble in the electrolyte phase and their transport proceeds under conditions of semi-infinite linear diffusion [4]. The semi-differentiation, which is the subject of this manuscript, allows transformation of strongly asymmetric diffusive current peaks into much more symmetrical, bell-shaped semi-derivative signals with well-defined end [4,12,42,52]. Application of such procedure is very helpful for separation of overlapped voltammetric peaks, the benefits depend on the extent of their overlapping.…”

Section: Introductionmentioning

confidence: 99%

“…The main disadvantages of the semi-derivative analysis are related to an increase in current noise due to application of differentiation, requirements of subtraction of background currents and formation of artificial semi-derivative signals when the sign of the current does not change when the potential scan is reversed [42,72].…”

Section: Introductionmentioning

confidence: 99%

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Semi-differential analysis of irreversible voltammetric peaks

Grdeń

2016

J Solid State Electrochem

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Voltammetric peaks obtained by simulation of electrochemical reactions under conditions of linear semi-infinite diffusion with an irreversible electron transfer process are analysed using a semi-differentiation procedure. Obtained semi-derivative peaks, separated or overlapped, are fitted with appropriate mathematical functions. The functions used for data fitting include a function describing symmetrical peaks, proposed by several authors for fitting irreversible semiderivative peaks, and two alternative functions that express asymmetric shape of the irreversible semi-derivative signals. When applied to the overlapped irreversible semi-derivative peaks, the latter two functions allow calculating certain electrochemical parameters with a better accuracy as compared with the function derived for the symmetrical peaks.

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Section: Parametermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Semi-differential analysis of irreversible voltammetric peaks

Grdeń

2016

J Solid State Electrochem

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Application of the parallel adaptive genetic simulated annealing algorithm for the synthesis of heat exchanger networks

Zhao

2012

Asia-Pacific J Chem Eng

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A robust hybrid genetic algorithm that can be used to solve process synthesis problems with mixed integer nonlinear programming (MINLP) models is developed. The proposed hybrid approach constructs an efficient genetic simulated annealing algorithm for global search, whereas the iterative hill climbing method as a local search technique is incorporated into genetic simulated annealing loop to speed up the convergence of the algorithm. To efficiently locate quality solutions to complex nonconvex MINLP problems, a self-adaptive scheme is developed in the parallel adaptive genetic simulated annealing to maintain a better tradeoff between the global and local search, which can improve the convergence speed and computational efficiency compared with some other hybrid genetic algorithm methods. For the evaluations, we use some well-known standard benchmark functions. The computational results demonstrate the effectiveness and robustness of the present approach. Further, the proposed algorithm is tailored to find optimum solution to heat exchanger network synthesis problem. The results presented prove that the proposed method is a very efficient global optimization tool for large dimensional, nonconvex MINLP problems.Dim, dimension; Std, standard deviation of solution; Avg, average of fitness value; Min, minimum fitness value. Asia-Pacific Journal of Chemical EngineeringPARALLEL ADAPTIVE GENETIC SIMULATED ANNEALING ALGORITHM 665

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Genetic Algorithm‐Based Improvement to Equivalent Circuit Analysis of Experimental Data in Electrochemical Impedance Spectroscopy

Kowski

Palys

2021

ChemElectroChem

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The paper discusses implementation of a hybrid algorithm for the optimization of equivalent circuit (EQC) parameters in the processing of electrochemical impedance data. Similar to other works, we use the genetic algorithm (GA) to find approximate values of parameters, which are further refined by a complex nonlinear least squares (CNLS) method, e. g. Levenberg‐Marquardt. This removes the important drawback of CNLS: the need to supply optimized starting values that are close to optimal ones. We propose the sequence of GA operations and values of GA parameters. In comparison to other works, our algorithm is designed to simplify connection of its GA part to existing CNLS procedures in electrochemical software packages. The algorithm was tested with datasets generated for both simple and complex EQCs, with and without added noise. No starting values were needed and the allowed ranges for EQC parameter variations were broader than found in usual experimental practice. For GA population as small as 300 individuals and the limit of only 500 GA cycles, more than 85 % of runs were successful, while in many cases the success rate was 100 %, also for smaller populations.

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Application of the hybrid genetic-simplex algorithm for deconvolution of electrochemical responses in SDLSV method

Cited by 21 publications

References 11 publications

Semi-differential analysis of irreversible voltammetric peaks

Semi-differential analysis of irreversible voltammetric peaks

Application of the parallel adaptive genetic simulated annealing algorithm for the synthesis of heat exchanger networks

Genetic Algorithm‐Based Improvement to Equivalent Circuit Analysis of Experimental Data in Electrochemical Impedance Spectroscopy

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