off between different options providing a wide range of cost,
renewable energy ratio, need for energy storage, environmental
impact, and reliability. It means this engineering problem needs
simultaneous optimization of these conflicting objectives. Multiobjective
optimization methods can be applied as a worthwhile
alternative to address conflicting objective functions in complex
optimization problems. The outcome of multi-objective optimization
approaches is a set of solutions named the Pareto front. It
provides information for decision makers to do a comparison between
solutions and select a solution according to preferred objectives
[3]. Many studies have proved that implementation of a
multi-objective optimization problem (MOP) is not only difficult,
but requires a large number of calculations to return a set of nondominated
solutions [4]. Similarly, multi-objective design of a
hybrid renewable energy system (HRES) is a complex problem
because of fluctuating energy prices, variable energy demand, and
randomness of weather conditions