Reglero. This work will never be produced without kindly help and assistance of professors Francisco Herrera and Antonio Gonzáles. And I am gratefull to Rocio Romero for providing me NSGA II description.

Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve maximum power output minimum wind cost. This may be accomplished by applying single or multi-objective techniques. this paper, we apply objective hill-climbing algorithm (HCA) three evolutionary algorithms (NSGA-II, SPEA2 PESA-II) well-known bench...

many real water resources optimization problems involve conflicting objectives. in this study, multiobjective genetic algorithm nsga-ii, has been developed for optimization the conjunctive use of surface water and groundwater resources and optimal management of supply and demand of agricultural water. here, optimal allocation of land and water resources to the dominant products in najaf abad pl...

<p style='text-indent:20px;'>This study concerns the optimization of green supply chain network design under demand uncertainty. The issue uncertainty has been addressed using a scenario-based analysis approach. main contribution this research is to investigate cross-dock based formulation and metaheuristic algorithms. problem formulated as two-objective mathematical model with objectives...

This study presents a multi-objective optimization approach for designing hybrid renewable energy systems electric vehicle (EV) charging stations that considers both economic and reliability factors as well seasonal variations in production consumption. Four algorithms, MOPSO, NSGA-II, NSGA-III, MOEA/D, were evaluated terms of their convergence, diversity, efficiency, robustness. Unlike previou...