Among various optimization approaches, evolutionary computation (EC) is a promising global optimization tool widely used for solving EOP efficiently in the past decades.

Evolutionary computation methods address these challenges by promoting competition, cooperation and parallelization. They encourage exploration through diversity and guided evolution.

Evolutionary computation methods can find useful solutions for many complex real-world science and engineering problems, but in general there is no guarantee for finding the best solution.