Genetic algorithmic based approach for multiple-objective probabilistic fractional programming problem involving discrete random variables

HIGHLIGHTS

• who: Berhanu Belay and Adane Abebaw from the Department of Mathematics, Collage of Natural and Computational Sciences, Debre, Debre have published the Article: Genetic algorithmic based approach for multiple-objective probabilistic fractional programming problem involving discrete random variables, in the Journal: PLOS ONE of August/31,/2022
• what: The authors use GA instead of other Heuristic algorithm for multiple-objective cases due to the following reasons:. the probability of exploration of the search area in GA is very high comparative other heuristic algorithms.. The experiments the authors did with crossover showed that a rate of . . .
  

   

  

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