How to Generate the Input Current for Exciting a Spiking Neural Model Using the Cuckoo Search Algorithm

Vázquez, Roberto A.; Sandoval, Guillermo; Ambrosio, Jose

doi:10.1007/978-3-319-02141-6_8

Cited by 4 publications

(3 citation statements)

References 44 publications

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“…The criterion function for the ten-element system (Figure 5) is more complicated than that for the bridge system [21,36]. It can be formulated as follows:…”

Section: Scenario 2 -A System Consisting Of 10 Elementsmentioning

confidence: 99%

“…Here, α CS > 0 is the step size scaling factor, which should be related to the scales of the problem of interest. In most cases, we can use α CS = O(L/10) or α CS = O(L/100), where L is a characteristic scale of the problem of interest [36]. The exploitation mechanism of the CS algorithm is based on local search, and the exploration mechanism is based on Lévy flights, which are drawn from the Lévy probability distribution [6] and can be expressed by the formula:…”

Section: Cuckoo Search Csmentioning

confidence: 99%

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Application of RRAP reliability optimization as a test of nature-inspired algorithms

Pieprzycki,

Filipowicz

2024

Sci, Tech. Innov.

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This paper presents a discussion on the application of two swarm intelligence algorithms, Cuckoo Search (CS) and Firey Algorithm (FA), to maximize the reliability of two complex systems with resource constraints, which have been well-known in the literature. The reliability of the systems is also evaluated using several classical methods. The results indicate that although the CS algorithm, which utilizes Lévy flight, is eective, the FA rey algorithm outperformed it in the presented optimization tasks, within the given parameter range. These ndings contribute to the ongoing discussion on using nature-inspired algorithms for solving Reliability Redundancy Allocation Problem (RRAP) problems, and the two test scenarios used in the study can be useful for validating other algorithms in RRAP problems. The paper introduces metrics and methods for analyzing and comparing the performance of algorithms in RRAP optimization, including the comparison of criterion function values and other parameters introduced in the paper. Additionally, the paper discusses statistical analyses of variance (ANOVA) with post-hoc RIR Tuckey tests.

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“…The criterion function for the ten-element system (Figure 5) is more complicated than that for the bridge system [21,36]. It can be formulated as follows:…”

Section: Scenario 2 -A System Consisting Of 10 Elementsmentioning

confidence: 99%

Section: Cuckoo Search Csmentioning

confidence: 99%

Application of RRAP reliability optimization as a test of nature-inspired algorithms

Pieprzycki,

Filipowicz

2024

Sci, Tech. Innov.

View full text Add to dashboard Cite

show abstract

“…Here, α CS > 0 is the step size scaling factor, which should be related to the scales of the problem of interest. In most cases, we can use α CS = O(L/10) or α CS = O(L/100) in some cases, where L is the characteristic scale of the problem of interest [19]. The exploitation mechanism of the CS algorithm are local motions and the mechanism are Lévy flights, based on the Lévy probability distribution [2], expressed by the formula:…”

Section: Cuckoo Search Csmentioning

confidence: 99%

Application of RRAP Reliability Optimization as Test of Nature Inspired Algorithms

Pieprzycki¹,

Filipowicz²

2023

Preprint

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This paper considers the application of two selected algorithms (Cuckoo Search CS, Firefly Algorithm FA) to determine and maximize the reliability of a two complex system known from the literature. This system operates with resource constraints. In addition, several classical methods for determining the reliability of systems have been applied. Although the CS algorithm is known for its effectiveness as it uses the Lévy flight, for the presented optimization tasks the FA firefly algorithm in the considered parameter range proved to be more effective. The presented results broaden the existing discussion on the application of nature-inspired algorithms for solving RRAP (Reliability Redundancy Allocation Problem) problems. From this point of view, two described test scenarios can be considered as a suitable tool for validating other algorithms in RRAP problems. Not only the values of the criterion functions can be compared, but also other introduced parameters and statistical analyse of variance (ANOVA) with post-hoc RIR Tuckey test was discussed.

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Crop Classification Using Different Color Spaces and RBF Neural Networks

Sandoval¹,

Vázquez²,

Garcia³

et al. 2014

Artificial Intelligence and Soft Computing

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How to Generate the Input Current for Exciting a Spiking Neural Model Using the Cuckoo Search Algorithm

Cited by 4 publications

References 44 publications

Application of RRAP reliability optimization as a test of nature-inspired algorithms

Application of RRAP reliability optimization as a test of nature-inspired algorithms

Application of RRAP Reliability Optimization as Test of Nature Inspired Algorithms

Crop Classification Using Different Color Spaces and RBF Neural Networks

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