A States of Matter Search-Based Scheme to Solve the Problem of Power Allocation in Plug-in Electric Cars

Cuevas, Erik; Diaz, Parris; Camarena, Octavio

doi:10.1007/978-3-030-58100-8_6

Cited by 1 publication

(3 citation statements)

References 19 publications

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“…The validation of the results found by the rIPA requires a comparison with the other meta-heuristics. For this purpose, the results of the rIPA were compared with the results of the different meta-heuristics including IPA [3], MFO [14], PSO [6,14], GSA [14,24], BA [13,14], FPA [1,14], SMS [7,14], FA [10,14] and GA [12,14]. In order to guarantee that all of these algorithms obtain their final solutions under the same conditions, population sizes were set to 30 and maximum evaluation number was taken equal to 30, 000 [14].…”

Section: Comparison Of Ripa With Other Meta-heuristics On Classical P...mentioning

confidence: 99%

“…By considering the minimization and maximization purposes about the C matrix, an objective function showed with f 1 can be defined as given in Eq. (7).…”

Section: Comparison Of Ripa With Other Meta-heuristics On Signal Deco...mentioning

confidence: 99%

“…Gravitational Search algorithm (GSA) proposed by Rashedi et al used Newtonian law of gravity to manage the search operation [24]. Cuevas et al considered the transition between solid, liquid and gas phases of a matter and State of Matter Search (SMS) was introduced [7]. Mirjalili showed that some trigonometric functions such as sine and cosine can be used to generate and fluctuate candidate solutions and then Sine-Cosine algorithm (SCA) was proposed [15] and helped understanding richness of the laws or phenomenas being referenced.…”

Section: Introductionmentioning

confidence: 99%

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An improved immune plasma algorithm with a regional pandemic restriction

Aslan

Demirci

2022

SIViP

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The coronavirus and its global effect have increased the interests of researchers from different disciplines to the medical methods such as immune or convalescent plasma treatment. Immune Plasma algorithm (IPA) that is the first meta-heuristic referencing the steps of the immune plasma treatment as the name implies has been proposed recently and its potential has been investigated. In this study, a pandemic management strategy based on limiting the free movements between regions was modeled and integrated into the workflow of the IPA and a new variant called regional IPA (rIPA) was introduced. For analyzing the contribution of the proposed method, twelve numerical benchmark problems were solved. Also, the performance of the rIPA was investigated by solving a new big data optimization problem that requires minimization of the measurement noise of electroencephalography signals. The results obtained by the rIPA were compared with the fourteen well-known and state-of-art meta-heuristics. Comparative studies showed that managing the relationship between the individuals of the population as in the proposed regional model significantly contributes to the capabilities and rIPA outperforms other meta-heuristics for most of the test cases.

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Section: Comparison Of Ripa With Other Meta-heuristics On Classical P...mentioning

confidence: 99%

“…By considering the minimization and maximization purposes about the C matrix, an objective function showed with f 1 can be defined as given in Eq. (7).…”

Section: Comparison Of Ripa With Other Meta-heuristics On Signal Deco...mentioning

confidence: 99%