EPSO enhanced by adaptive scaling and sub-swarms

Miranda, Vladimiro; Vigo, Joao; Carvalho, Leonel; Marcelino, Carolina G.; Wanner, Elizabeth F.

doi:10.1109/isap48318.2019.9065982

Cited by 2 publications

(1 citation statement)

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“…Evolutionary Particle Swarm Optimization EPSO EPSO takes the equation of motion of the PSO (Kadkol, 2021) and adapts it in a similar way to the method of genetic algorithms (Equation 53 and Equation 54). In each k -iteration, the evolutionary operators of mutation (*), selection and combination are applied them to the parameters (Equation 51) and global optimum (Equation 52) (Miranda et al, 2019). ( ) N 0,1 is a random variable with Gaussian Distribution of mean equal to zero and standard deviation equal to the unity, the comma is to separate the two said parameters.…”

Section: End End Programmentioning

confidence: 99%

Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology

Camargo

2022

Prod.

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Paper aims: the combination of the quality indices, a novel model called "Dynamic Growth Allocation Model (DGAM)", Fuzzy Decision Making Theory (FDM), Analytical Hierarchy Process (AHP) and the Evolutive Particle Swarm Optimization (EPSO) is proposed.Originality: the multi-objective optimization (with uncertainty) of the Argentine energy transition is not sufficiently studied. This combined methodology in this problem was not published and it had good, relatively easy and fast results.Research method: the optimization indices (EROI, CO2, IC and RP), the methodology used (DGAM, FDM, AHP and EPSO) and its results are analyzed.Main findings: (i) the nuclear energy allowed the renewable transition; (ii) the fossil dismantling and the investment in biomass and wind are needed; (iii) the EROI depends on the good load factor, useful life and performance.Implications for theory and practice: It is sought a minimum Renewable Participation (RP) of 20% of Argentina with a sustainable energy matrix.

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Section: End End Programmentioning

confidence: 99%