“…The use of artificial intelligence-based modern optimization techniques like the genetic algorithm, 9 particle swarm optimization, 10 and gray wolf optimizer 11 has increased lately because of their inherent capability to search in larger space with population-based variable values. 12 , 13 The hybrid techniques with a combination of more than one optimization technique are also gaining currency to exploit the advantages of two different optimization techniques. 14 The researchers have envisaged the energy need fulfillment of off-grid communities in isolated areas 15 and developing nations.…”