In this article, a hybrid algorithm is proposed by combining the non-dominated sorting genetic algorithm (NSGA-II) with multi-objective particle swarm optimization (MOPSO) algorithm. The original NSGA ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

DataProcessing: code required to process raw data. GeneScoreResampling, EnsembleEnrichment: code to run both random-gene and randomized-phenotype enrichment analysis. ResultsComparison: code to ...

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The configuration programming of Distributed Generators (DGs) in a micro-grid (MG) through the achievement of multi-objective is an inevitable and primary issue ahead of micro-grid’s construction. The ...

ABSTRACT In this paper, a parametrization methodology based on the Genetic Algorithm meta-heuristic is proposed for the Chen and Rincón-Mora model parameter estimation, this model is utilized for the ...