Multi-objective optimization techniques: a survey of the state-of-the-art and applications

In recent years, multi-objective optimization (MOO) techniques have become popular due to their potentiality in solving a wide variety of real-world problems, including bioinformatics, wireless networks, natural language processing, image processing, astronomy and astrophysics, and many more. In the current paper, we have presented a survey of recently developed MOO-based algorithms. Some of the applications, along with possible future research directions, are also discussed.