A Meta Heuristic Method Representation for Selection of Alternative Energy Production Methods

In the science of operation research and decision theory, selection is the most important process. Selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. The multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literature. In the present study to form a portfolio of renewable energy, first, the KOHONEN neural network algorithm was used, and theneachportfolio was evaluated usingmulti criteriadecision-making methods. Further, throughMeta heuristicmulti objectivealgorithms Pareto rankanalysis was conducted andsocial acceptance ofrenewable energy production methods was assessed. Finally, the portfoliofor studied energies was composed.  Theresults indicated that Cuckoo SearchAlgorithmand Grey Relational Analysis are effective and efficient for the selection of optimalParetoportfolioofrenewable energy.