Main Article Content
In this paper, a simple, efficient and most powerful differential evolution (DE) algorithm with parameter adaptation strategy (DE-PAS) is proposed and implemented for an optimal design of hybrid renewable energy system (HRES). The performance and efficiency of a simple differential evolution (DE) algorithm is extensively influenced by the proper choice of parameters and adaptive strategies; therefore, a differential evolution algorithm with parameter adaptation strategy (DE-PAS) is proposed in this paper to enhance the performance of existing simple DE algorithm. In DE-PAS, the suitable control parameters can be achieved in different evolution stages. Best suitable self-adaptation (SA) techniques for mutation rate and crossover rate were studied using the chosen HRES problem. The computational results show that the fitness based adaptation technique for and SA technique for performs better than the other adaptation techniques. To demonstrate the efficiency and reliability of the proposed DE-PAS algorithm is compared with different state-of-the-art evolutionary algorithms. Comparison with the best-known algorithm reflects the superiority of proposed algorithm in terms of accuracy, convergence speed and computational time for the chosen HRES problem.